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Gstoettner C, Laengle G, Harnoncourt L, Sassu P, Aszmann OC. Targeted muscle reinnervation in bionic upper limb reconstruction: current status and future directions. J Hand Surg Eur Vol 2024; 49:783-791. [PMID: 38366374 DOI: 10.1177/17531934241227795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/18/2024]
Abstract
Selective nerve transfers are used in the setting of upper limb amputation to improve myoelectric prosthesis control. This surgical concept is referred to as targeted muscle reinnervation (TMR) and describes the rerouting of the major nerves of the arm onto the motor branches of the residual limb musculature. Aside from providing additional myosignals for prosthetic control, TMR can treat and prevent neuroma pain and possibly also phantom limb pain. This article reviews the history and current applications of TMR in upper limb amputation, with a focus on practical considerations. It further explores and identifies technological innovations to improve the man-machine interface in amputation care, particularly regarding implantable interfaces, such as muscle electrodes and osseointegration. Finally, future clinical directions and possible scientific avenues in this field are presented and critically discussed.
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Affiliation(s)
- Clemens Gstoettner
- Clinical Laboratory for Bionic Extremity Reconstruction, Department of Plastic, Reconstructive and Aesthetic Surgery, Medical University Vienna, Vienna, Austria
| | - Gregor Laengle
- Clinical Laboratory for Bionic Extremity Reconstruction, Department of Plastic, Reconstructive and Aesthetic Surgery, Medical University Vienna, Vienna, Austria
| | - Leopold Harnoncourt
- Clinical Laboratory for Bionic Extremity Reconstruction, Department of Plastic, Reconstructive and Aesthetic Surgery, Medical University Vienna, Vienna, Austria
| | - Paolo Sassu
- Center for Bionics and Pain Research, Mölndal, Sweden
- Department of Orthoplastic, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy
| | - Oskar C Aszmann
- Clinical Laboratory for Bionic Extremity Reconstruction, Department of Plastic, Reconstructive and Aesthetic Surgery, Medical University Vienna, Vienna, Austria
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Kundu A, Patrick E, Currlin S, Madler R, Delgado F, Fahmy A, Verplancke R, Ballini M, Braeken D, de Beeck MO, Maghari N, Otto KJ, Bashirullah R. Using Compound Neural Action Potentials for Functional Validation of a High-Density Intraneural Interface: A Preliminary Study. MICROMACHINES 2024; 15:280. [PMID: 38399008 PMCID: PMC10891740 DOI: 10.3390/mi15020280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 02/14/2024] [Accepted: 02/15/2024] [Indexed: 02/25/2024]
Abstract
Compound nerve action potentials (CNAPs) were used as a metric to assess the stimulation performance of a novel high-density, transverse, intrafascicular electrode in rat models. We show characteristic CNAPs recorded from distally implanted cuff electrodes. Evaluation of the CNAPs as a function of stimulus current and calculation of recruitment plots were used to obtain a qualitative approximation of the neural interface's placement and orientation inside the nerve. This method avoids elaborate surgeries required for the implantation of EMG electrodes and thus minimizes surgical complications and may accelerate the healing process of the implanted subject.
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Affiliation(s)
- Aritra Kundu
- Department of Bioengineering, Imperial College London, SW7 2AZ London, UK
- Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL 32611, USA; (E.P.); (N.M.)
| | - Erin Patrick
- Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL 32611, USA; (E.P.); (N.M.)
| | - Seth Currlin
- Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611, USA (K.J.O.)
| | - Ryan Madler
- Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL 32611, USA; (E.P.); (N.M.)
| | - Francisco Delgado
- Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611, USA (K.J.O.)
| | - Ahmed Fahmy
- Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL 32611, USA; (E.P.); (N.M.)
| | - Rik Verplancke
- Centre for Microsystems Technology (CMST), IMEC and Ghent University, 9052 Zwijnaarde, Belgium (M.O.d.B.)
| | | | | | - Maaike Op de Beeck
- Centre for Microsystems Technology (CMST), IMEC and Ghent University, 9052 Zwijnaarde, Belgium (M.O.d.B.)
- IMEC, Kapeldreef 75, 3001 Leuven, Belgium;
| | - Nima Maghari
- Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL 32611, USA; (E.P.); (N.M.)
| | - Kevin J. Otto
- Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611, USA (K.J.O.)
| | - Rizwan Bashirullah
- Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL 32611, USA; (E.P.); (N.M.)
- Galvani Bioelectronics, South San Francisco, CA 94080, USA
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3
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Hwang YCE, Genov R, Zariffa J. Resource-Efficient Neural Network Architectures for Classifying Nerve Cuff Recordings on Implantable Devices. IEEE Trans Biomed Eng 2024; 71:631-639. [PMID: 37672367 DOI: 10.1109/tbme.2023.3312361] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/08/2023]
Abstract
BACKGROUND Closed-loop functional electrical stimulation can use recorded nerve signals to create implantable systems that make decisions regarding nerve stimulation in real-time. Previous work demonstrated convolutional neural network (CNN) discrimination of activity from different neural pathways recorded by a high-density multi-contact nerve cuff electrode, achieving state-of-the-art performance but requiring too much data storage and power for a practical implementation on surgically implanted hardware. OBJECTIVE To reduce resource utilization for an implantable implementation, with minimal performance loss for CNNs that can discriminate between neural pathways in multi-contact cuff electrode recordings. METHODS Neural networks (NNs) were evaluated using rat sciatic nerve recordings previously collected using 56-channel cuff electrodes to capture spatiotemporal neural activity patterns. NNs were trained to classify individual, natural compound action potentials (nCAPs) elicited by sensory stimuli. Three architectures were explored: the previously reported ESCAPE-NET, a fully convolutional network, and a recurrent neural network. Variations of each architecture were evaluated based on F1-score, number of weights, and floating-point operations (FLOPs). RESULTS NNs were identified that, when compared to ESCAPE-NET, require 1,132-1,787x fewer weights, 389-995x less memory, and 6-11,073x fewer FLOPs, while maintaining macro F1-scores of 0.70-0.71 compared to a baseline of 0.75. Memory requirements range from 22.69 KB to 58.11 KB, falling within on-chip memory sizes from published deep learning accelerators fabricated in ASIC technology. CONCLUSION Reduced versions of ESCAPE-NET require significantly fewer resources without significant accuracy loss, thus can be more easily incorporated into a surgically implantable device that performs closed-loop responsive neural stimulation.
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Quinn KN, Tian Y, Budde R, Irazoqui PP, Tuffaha S, Thakor NV. Neuromuscular implants: Interfacing with skeletal muscle for improved clinical translation of prosthetic limbs. Muscle Nerve 2024; 69:134-147. [PMID: 38126120 DOI: 10.1002/mus.28029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 11/27/2023] [Accepted: 12/10/2023] [Indexed: 12/23/2023]
Abstract
After an amputation, advanced prosthetic limbs can be used to interface with the nervous system and restore motor function. Despite numerous breakthroughs in the field, many of the recent research advancements have not been widely integrated into clinical practice. This review highlights recent innovations in neuromuscular implants-specifically those that interface with skeletal muscle-which could improve the clinical translation of prosthetic technologies. Skeletal muscle provides a physiologic gateway to harness and amplify signals from the nervous system. Recent surgical advancements in muscle reinnervation surgeries leverage the "bio-amplification" capabilities of muscle, enabling more intuitive control over a greater number of degrees of freedom in prosthetic limbs than previously achieved. We anticipate that state-of-the-art implantable neuromuscular interfaces that integrate well with skeletal muscle and novel surgical interventions will provide a long-term solution for controlling advanced prostheses. Flexible electrodes are expected to play a crucial role in reducing foreign body responses and improving the longevity of the interface. Additionally, innovations in device miniaturization and ongoing exploration of shape memory polymers could simplify surgical procedures for implanting such interfaces. Once implanted, wireless strategies for powering and transferring data from the interface can eliminate bulky external wires, reduce infection risk, and enhance day-to-day usability. By outlining the current limitations of neuromuscular interfaces along with potential future directions, this review aims to guide continued research efforts and future collaborations between engineers and specialists in the field of neuromuscular and musculoskeletal medicine.
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Affiliation(s)
- Kiara N Quinn
- Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Yucheng Tian
- Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Ryan Budde
- Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Pedro P Irazoqui
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, Maryland, USA
| | - Sami Tuffaha
- Department of Plastic and Reconstructive Surgery, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Nitish V Thakor
- Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, Maryland, USA
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5
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Taghlabi KM, Cruz-Garza JG, Hassan T, Potnis O, Bhenderu LS, Guerrero JR, Whitehead RE, Wu Y, Luan L, Xie C, Robinson JT, Faraji AH. Clinical outcomes of peripheral nerve interfaces for rehabilitation in paralysis and amputation: a literature review. J Neural Eng 2024; 21:011001. [PMID: 38237175 DOI: 10.1088/1741-2552/ad200f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 01/18/2024] [Indexed: 02/02/2024]
Abstract
Peripheral nerve interfaces (PNIs) are electrical systems designed to integrate with peripheral nerves in patients, such as following central nervous system (CNS) injuries to augment or replace CNS control and restore function. We review the literature for clinical trials and studies containing clinical outcome measures to explore the utility of human applications of PNIs. We discuss the various types of electrodes currently used for PNI systems and their functionalities and limitations. We discuss important design characteristics of PNI systems, including biocompatibility, resolution and specificity, efficacy, and longevity, to highlight their importance in the current and future development of PNIs. The clinical outcomes of PNI systems are also discussed. Finally, we review relevant PNI clinical trials that were conducted, up to the present date, to restore the sensory and motor function of upper or lower limbs in amputees, spinal cord injury patients, or intact individuals and describe their significant findings. This review highlights the current progress in the field of PNIs and serves as a foundation for future development and application of PNI systems.
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Affiliation(s)
- Khaled M Taghlabi
- Department of Neurological Surgery, Houston Methodist Hospital, Houston, TX 77030, United States of America
- Center for Neural Systems Restoration, Houston Methodist Research Institute, Houston, TX 77030, United States of America
- Clinical Innovations Laboratory, Houston Methodist Research Institute, Houston, TX 77030, United States of America
| | - Jesus G Cruz-Garza
- Department of Neurological Surgery, Houston Methodist Hospital, Houston, TX 77030, United States of America
- Center for Neural Systems Restoration, Houston Methodist Research Institute, Houston, TX 77030, United States of America
- Clinical Innovations Laboratory, Houston Methodist Research Institute, Houston, TX 77030, United States of America
| | - Taimur Hassan
- Department of Neurological Surgery, Houston Methodist Hospital, Houston, TX 77030, United States of America
- Center for Neural Systems Restoration, Houston Methodist Research Institute, Houston, TX 77030, United States of America
- Clinical Innovations Laboratory, Houston Methodist Research Institute, Houston, TX 77030, United States of America
- School of Medicine, Texas A&M University, Bryan, TX 77807, United States of America
| | - Ojas Potnis
- Department of Neurological Surgery, Houston Methodist Hospital, Houston, TX 77030, United States of America
- Center for Neural Systems Restoration, Houston Methodist Research Institute, Houston, TX 77030, United States of America
- Clinical Innovations Laboratory, Houston Methodist Research Institute, Houston, TX 77030, United States of America
- School of Engineering Medicine, Texas A&M University, Houston, TX 77030, United States of America
| | - Lokeshwar S Bhenderu
- Department of Neurological Surgery, Houston Methodist Hospital, Houston, TX 77030, United States of America
- Center for Neural Systems Restoration, Houston Methodist Research Institute, Houston, TX 77030, United States of America
- Clinical Innovations Laboratory, Houston Methodist Research Institute, Houston, TX 77030, United States of America
- School of Medicine, Texas A&M University, Bryan, TX 77807, United States of America
| | - Jaime R Guerrero
- Department of Neurological Surgery, Houston Methodist Hospital, Houston, TX 77030, United States of America
- Center for Neural Systems Restoration, Houston Methodist Research Institute, Houston, TX 77030, United States of America
- Clinical Innovations Laboratory, Houston Methodist Research Institute, Houston, TX 77030, United States of America
| | - Rachael E Whitehead
- Department of Academic Affairs, Houston Methodist Academic Institute, Houston, TX 77030, United States of America
| | - Yu Wu
- Rice Neuroengineering Initiative, Rice University, Houston, TX 77005, United States of America
- Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005, United States of America
| | - Lan Luan
- Rice Neuroengineering Initiative, Rice University, Houston, TX 77005, United States of America
- Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005, United States of America
| | - Chong Xie
- Rice Neuroengineering Initiative, Rice University, Houston, TX 77005, United States of America
- Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005, United States of America
| | - Jacob T Robinson
- Rice Neuroengineering Initiative, Rice University, Houston, TX 77005, United States of America
- Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005, United States of America
| | - Amir H Faraji
- Department of Neurological Surgery, Houston Methodist Hospital, Houston, TX 77030, United States of America
- Center for Neural Systems Restoration, Houston Methodist Research Institute, Houston, TX 77030, United States of America
- Clinical Innovations Laboratory, Houston Methodist Research Institute, Houston, TX 77030, United States of America
- Rice Neuroengineering Initiative, Rice University, Houston, TX 77005, United States of America
- Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005, United States of America
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6
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Hwang YCE, Long L, Filho JS, Genov R, Zariffa J. Closed-Loop Control of Functional Electrical Stimulation Using a Selectively Recording and Bidirectional Nerve Cuff Interface. IEEE Trans Neural Syst Rehabil Eng 2024; 32:504-513. [PMID: 38231810 DOI: 10.1109/tnsre.2024.3355063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
Discriminating recorded afferent neural information can provide sensory feedback for closed-loop control of functional electrical stimulation, which restores movement to paralyzed limbs. Previous work achieved state-of-the-art off-line classification of electrical activity in different neural pathways recorded by a multi-contact nerve cuff electrode, by applying deep learning to spatiotemporal neural patterns. The objective of this study was to demonstrate the feasibility of this approach in the context of closed-loop stimulation. Acute in vivo experiments were conducted on 11 Long Evans rats to demonstrate closed-loop stimulation. A 64-channel ( 8×8 ) nerve cuff electrode was implanted on each rat's sciatic nerve for recording and stimulation. A convolutional neural network (CNN) was trained with spatiotemporal signal recordings associated with 3 different states of the hindpaw (dorsiflexion, plantarflexion, and pricking of the heel). After training, firing rates were reconstructed from the classifier outputs for each of the three target classes. A rule-based closed-loop controller was implemented to produce ankle movement trajectories using neural stimulation, based on the classified nerve recordings. Closed-loop stimulation was successfully demonstrated in 6 subjects. The number of successful movement sequence trials per subject ranged from 1-17 and number of correct state transitions per trial ranged from 3-53. This work demonstrates that a CNN applied to multi-contact nerve cuff recordings can be used for closed-loop control of functional electrical stimulation.
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Ionescu ON, Franti E, Carbunaru V, Moldovan C, Dinulescu S, Ion M, Dragomir DC, Mihailescu CM, Lascar I, Oproiu AM, Neagu TP, Costea R, Dascalu M, Teleanu MD, Ionescu G, Teleanu R. System of Implantable Electrodes for Neural Signal Acquisition and Stimulation for Wirelessly Connected Forearm Prosthesis. BIOSENSORS 2024; 14:31. [PMID: 38248408 PMCID: PMC10813559 DOI: 10.3390/bios14010031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 12/31/2023] [Accepted: 01/02/2024] [Indexed: 01/23/2024]
Abstract
There is great interest in the development of prosthetic limbs capable of complex activities that are wirelessly connected to the patient's neural system. Although some progress has been achieved in this area, one of the main problems encountered is the selective acquisition of nerve impulses and the closing of the automation loop through the selective stimulation of the sensitive branches of the patient. Large-scale research and development have achieved so-called "cuff electrodes"; however, they present a big disadvantage: they are not selective. In this article, we present the progress made in the development of an implantable system of plug neural microelectrodes that relate to the biological nerve tissue and can be used for the selective acquisition of neuronal signals and for the stimulation of specific nerve fascicles. The developed plug electrodes are also advantageous due to their small thickness, as they do not trigger nerve inflammation. In addition, the results of the conducted tests on a sous scrofa subject are presented.
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Affiliation(s)
- Octavian Narcis Ionescu
- Faculty of Mechanical and Electrical Engineering, Petroleum and Gas University from Ploiesti, 100680 Ploiesti, Romania; (O.N.I.); (G.I.)
- National Institute for Research and Development for Microtechnology Bucharest, 077190 Bucharest, Romania; (C.M.); (S.D.); (M.I.); (D.C.D.); (C.M.M.)
| | - Eduard Franti
- National Institute for Research and Development for Microtechnology Bucharest, 077190 Bucharest, Romania; (C.M.); (S.D.); (M.I.); (D.C.D.); (C.M.M.)
- ICIA, Centre of New Electronic Architectures, 061071 Bucharest, Romania;
| | - Vlad Carbunaru
- Emergency Clinic Hospital Bucharest, 014461 Bucharest, Romania; (V.C.); (I.L.); (A.M.O.); (T.P.N.)
- University of Medicine and Pharmacy UMF Carol Davila, 050474 Bucharest, Romania; (M.D.T.); (R.T.)
| | - Carmen Moldovan
- National Institute for Research and Development for Microtechnology Bucharest, 077190 Bucharest, Romania; (C.M.); (S.D.); (M.I.); (D.C.D.); (C.M.M.)
| | - Silviu Dinulescu
- National Institute for Research and Development for Microtechnology Bucharest, 077190 Bucharest, Romania; (C.M.); (S.D.); (M.I.); (D.C.D.); (C.M.M.)
| | - Marian Ion
- National Institute for Research and Development for Microtechnology Bucharest, 077190 Bucharest, Romania; (C.M.); (S.D.); (M.I.); (D.C.D.); (C.M.M.)
| | - David Catalin Dragomir
- National Institute for Research and Development for Microtechnology Bucharest, 077190 Bucharest, Romania; (C.M.); (S.D.); (M.I.); (D.C.D.); (C.M.M.)
| | - Carmen Marinela Mihailescu
- National Institute for Research and Development for Microtechnology Bucharest, 077190 Bucharest, Romania; (C.M.); (S.D.); (M.I.); (D.C.D.); (C.M.M.)
| | - Ioan Lascar
- Emergency Clinic Hospital Bucharest, 014461 Bucharest, Romania; (V.C.); (I.L.); (A.M.O.); (T.P.N.)
- University of Medicine and Pharmacy UMF Carol Davila, 050474 Bucharest, Romania; (M.D.T.); (R.T.)
| | - Ana Maria Oproiu
- Emergency Clinic Hospital Bucharest, 014461 Bucharest, Romania; (V.C.); (I.L.); (A.M.O.); (T.P.N.)
- University of Medicine and Pharmacy UMF Carol Davila, 050474 Bucharest, Romania; (M.D.T.); (R.T.)
| | - Tiberiu Paul Neagu
- Emergency Clinic Hospital Bucharest, 014461 Bucharest, Romania; (V.C.); (I.L.); (A.M.O.); (T.P.N.)
- University of Medicine and Pharmacy UMF Carol Davila, 050474 Bucharest, Romania; (M.D.T.); (R.T.)
| | - Ruxandra Costea
- Faculty of Veterinary Medicine, University of Agricultural Sciences and Veterinary Medicine of Bucharest, 011464 Bucharest, Romania;
| | - Monica Dascalu
- ICIA, Centre of New Electronic Architectures, 061071 Bucharest, Romania;
- Faculty of Electronics, Telecommunications and Information Technology, National University of Science and Technology Politehnica of Bucharest, 060042 Bucharest, Romania
| | - Mihai Daniel Teleanu
- University of Medicine and Pharmacy UMF Carol Davila, 050474 Bucharest, Romania; (M.D.T.); (R.T.)
| | - Gabriela Ionescu
- Faculty of Mechanical and Electrical Engineering, Petroleum and Gas University from Ploiesti, 100680 Ploiesti, Romania; (O.N.I.); (G.I.)
| | - Raluca Teleanu
- University of Medicine and Pharmacy UMF Carol Davila, 050474 Bucharest, Romania; (M.D.T.); (R.T.)
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Ortiz-Catalan M, Zbinden J, Millenaar J, D'Accolti D, Controzzi M, Clemente F, Cappello L, Earley EJ, Mastinu E, Kolankowska J, Munoz-Novoa M, Jönsson S, Cipriani C, Sassu P, Brånemark R. A highly integrated bionic hand with neural control and feedback for use in daily life. Sci Robot 2023; 8:eadf7360. [PMID: 37820004 DOI: 10.1126/scirobotics.adf7360] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 09/14/2023] [Indexed: 10/13/2023]
Abstract
Restoration of sensorimotor function after amputation has remained challenging because of the lack of human-machine interfaces that provide reliable control, feedback, and attachment. Here, we present the clinical implementation of a transradial neuromusculoskeletal prosthesis-a bionic hand connected directly to the user's nervous and skeletal systems. In one person with unilateral below-elbow amputation, titanium implants were placed intramedullary in the radius and ulna bones, and electromuscular constructs were created surgically by transferring the severed nerves to free muscle grafts. The native muscles, free muscle grafts, and ulnar nerve were implanted with electrodes. Percutaneous extensions from the titanium implants provided direct skeletal attachment and bidirectional communication between the implanted electrodes and a prosthetic hand. Operation of the bionic hand in daily life resulted in improved prosthetic function, reduced postamputation, and increased quality of life. Sensations elicited via direct neural stimulation were consistently perceived on the phantom hand throughout the study. To date, the patient continues using the prosthesis in daily life. The functionality of conventional artificial limbs is hindered by discomfort and limited and unreliable control. Neuromusculoskeletal interfaces can overcome these hurdles and provide the means for the everyday use of a prosthesis with reliable neural control fixated into the skeleton.
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Affiliation(s)
- Max Ortiz-Catalan
- Center for Bionics and Pain Research, Mölndal, Sweden
- Bionics Institute, Melbourne, Australia
- Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden
- University of Melbourne, Melbourne, Australia
| | - Jan Zbinden
- Center for Bionics and Pain Research, Mölndal, Sweden
- Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | | | - Daniele D'Accolti
- Biorobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy
- Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, Pisa, Italy
| | - Marco Controzzi
- Biorobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy
- Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, Pisa, Italy
| | | | - Leonardo Cappello
- Biorobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy
- Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, Pisa, Italy
| | - Eric J Earley
- Center for Bionics and Pain Research, Mölndal, Sweden
- Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden
- Osseointegration Research Consortium, University of Colorado, Aurora, CO, USA
| | - Enzo Mastinu
- Center for Bionics and Pain Research, Mölndal, Sweden
- Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden
- Biorobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy
- Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, Pisa, Italy
| | | | - Maria Munoz-Novoa
- Center for Bionics and Pain Research, Mölndal, Sweden
- Center for Advanced Reconstruction of Extremities, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Stewe Jönsson
- TeamOlmed, Department of Upper Limb Prosthetics, Kungsbacka, Sweden
| | - Christian Cipriani
- Biorobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy
- Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, Pisa, Italy
| | - Paolo Sassu
- Center for Bionics and Pain Research, Mölndal, Sweden
- Department of Hand Surgery, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Orthopaedics, IRCCS, Istituto Ortopedico Rizzoli, Bologna, Italy
| | - Rickard Brånemark
- Integrum AB, Mölndal, Sweden
- Department of Orthopaedics, Gothenburg University, Gothenburg, Sweden
- K. Lisa Yang Center for Bionics, MIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA, USA
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Ahkami B, Ahmed K, Thesleff A, Hargrove L, Ortiz-Catalan M. Electromyography-Based Control of Lower Limb Prostheses: A Systematic Review. IEEE TRANSACTIONS ON MEDICAL ROBOTICS AND BIONICS 2023; 5:547-562. [PMID: 37655190 PMCID: PMC10470657 DOI: 10.1109/tmrb.2023.3282325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
Abstract
Most amputations occur in lower limbs and despite improvements in prosthetic technology, no commercially available prosthetic leg uses electromyography (EMG) information as an input for control. Efforts to integrate EMG signals as part of the control strategy have increased in the last decade. In this systematic review, we summarize the research in the field of lower limb prosthetic control using EMG. Four different online databases were searched until June 2022: Web of Science, Scopus, PubMed, and Science Direct. We included articles that reported systems for controlling a prosthetic leg (with an ankle and/or knee actuator) by decoding gait intent using EMG signals alone or in combination with other sensors. A total of 1,331 papers were initially assessed and 121 were finally included in this systematic review. The literature showed that despite the burgeoning interest in research, controlling a leg prosthesis using EMG signals remains challenging. Specifically, regarding EMG signal quality and stability, electrode placement, prosthetic hardware, and control algorithms, all of which need to be more robust for everyday use. In the studies that were investigated, large variations were found between the control methodologies, type of research participant, recording protocols, assessments, and prosthetic hardware.
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Affiliation(s)
- Bahareh Ahkami
- Center for Bionics and Pain Research, 43130 Mölndal, Sweden, and also with the Department of Electrical Engineering, Chalmers University of Technology, 41296 Gothenburg, Sweden
| | - Kirstin Ahmed
- Center for Bionics and Pain Research, 43130 Mölndal, Sweden, and also with the Department of Electrical Engineering, Chalmers University of Technology, 41296 Gothenburg, Sweden
| | - Alexander Thesleff
- Center for Bionics and Pain Research, 43130 Mölndal, Sweden, also with the Department of Electrical Engineering, Chalmers University of Technology, 41296 Gothenburg, Sweden, and also with Integrum AB, 43153 Molndal, Sweden
| | - Levi Hargrove
- Department of Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL 60611 USA, and also with the Regenstein Foundation Center for Bionic Medicine, Shirley Ryan AbilityLab, Chicago, IL 60611 USA
| | - Max Ortiz-Catalan
- Center for Bionics and Pain Research, 43130 Mölndal, Sweden, also with the Department of Electrical Engineering, Chalmers University of Technology, 41296 Gothenburg, Sweden, also with the Operational Area 3, Sahlgrenska University Hospital, 41345 Gothenburg, Sweden, and also with Bionics Institute, Melbourne, VIC 3002, Australia
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10
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Zbinden J, Sassu P, Mastinu E, Earley EJ, Munoz-Novoa M, Brånemark R, Ortiz-Catalan M. Improved control of a prosthetic limb by surgically creating electro-neuromuscular constructs with implanted electrodes. Sci Transl Med 2023; 15:eabq3665. [PMID: 37437016 DOI: 10.1126/scitranslmed.abq3665] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 06/23/2023] [Indexed: 07/14/2023]
Abstract
Remnant muscles in the residual limb after amputation are the most common source of control signals for prosthetic hands, because myoelectric signals can be generated by the user at will. However, for individuals with amputation higher up the arm, such as an above-elbow (transhumeral) amputation, insufficient muscles remain to generate myoelectric signals to enable control of the lost arm and hand joints, thus making intuitive control of wrist and finger prosthetic joints unattainable. We show that severed nerves can be divided along their fascicles and redistributed to concurrently innervate different types of muscle targets, particularly native denervated muscles and nonvascularized free muscle grafts. We engineered these neuromuscular constructs with implanted electrodes that were accessible via a permanent osseointegrated interface, allowing for bidirectional communication with the prosthesis while also providing direct skeletal attachment. We found that the transferred nerves effectively innervated their new targets as shown by a gradual increase in myoelectric signal strength. This allowed for individual flexion and extension of all five fingers of a prosthetic hand by a patient with a transhumeral amputation. Improved prosthetic function in tasks representative of daily life was also observed. This proof-of-concept study indicates that motor neural commands can be increased by creating electro-neuromuscular constructs using distributed nerve transfers to different muscle targets with implanted electrodes, enabling improved control of a limb prosthesis.
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Affiliation(s)
- Jan Zbinden
- Center for Bionics and Pain Research, Mölndal, Sweden
- Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Paolo Sassu
- Center for Bionics and Pain Research, Mölndal, Sweden
- Department of Hand Surgery, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Orthoplastic, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy
| | - Enzo Mastinu
- Center for Bionics and Pain Research, Mölndal, Sweden
- Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden
- BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy
| | - Eric J Earley
- Center for Bionics and Pain Research, Mölndal, Sweden
- Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden
- Osseointegration Research Consortium, University of Colorado, Aurora, CO, USA
| | - Maria Munoz-Novoa
- Center for Bionics and Pain Research, Mölndal, Sweden
- Center for Advanced Reconstruction of Extremities, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Rickard Brånemark
- K. Lisa Yang Center for Bionics, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Orthopaedics, Gothenburg University, Gothenburg, Sweden
- Integrum AB, Mölndal, Sweden
| | - Max Ortiz-Catalan
- Center for Bionics and Pain Research, Mölndal, Sweden
- Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden
- Bionics Institute, Melbourne, Australia
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11
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Gehlhar R, Tucker M, Young AJ, Ames AD. A Review of Current State-of-the-Art Control Methods for Lower-Limb Powered Prostheses. ANNUAL REVIEWS IN CONTROL 2023; 55:142-164. [PMID: 37635763 PMCID: PMC10449377 DOI: 10.1016/j.arcontrol.2023.03.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/29/2023]
Abstract
Lower-limb prostheses aim to restore ambulatory function for individuals with lower-limb amputations. While the design of lower-limb prostheses is important, this paper focuses on the complementary challenge - the control of lower-limb prostheses. Specifically, we focus on powered prostheses, a subset of lower-limb prostheses, which utilize actuators to inject mechanical power into the walking gait of a human user. In this paper, we present a review of existing control strategies for lower-limb powered prostheses, including the control objectives, sensing capabilities, and control methodologies. We separate the various control methods into three main tiers of prosthesis control: high-level control for task and gait phase estimation, mid-level control for desired torque computation (both with and without the use of reference trajectories), and low-level control for enforcing the computed torque commands on the prosthesis. In particular, we focus on the high- and mid-level control approaches in this review. Additionally, we outline existing methods for customizing the prosthetic behavior for individual human users. Finally, we conclude with a discussion on future research directions for powered lower-limb prostheses based on the potential of current control methods and open problems in the field.
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Affiliation(s)
- Rachel Gehlhar
- Department of Mechanical and Civil Engineering, California Institute of Technology, 1200 E. California Blvd., Pasadena, 91125, CA, USA
| | - Maegan Tucker
- Department of Mechanical and Civil Engineering, California Institute of Technology, 1200 E. California Blvd., Pasadena, 91125, CA, USA
| | - Aaron J Young
- Woodruff School of Mechanical Engineering, Georgia Institute of Technology, North Avenue, Atlanta, 30332, GA, USA
- Institute for Robotics and Intelligent Machines, Georgia Institute of Technology, North Avenue, Atlanta, 30332, GA, USA
| | - Aaron D Ames
- Department of Mechanical and Civil Engineering, California Institute of Technology, 1200 E. California Blvd., Pasadena, 91125, CA, USA
- Department of Computing and Mathematical Sciences, California Institute of Technology, 1200 E. California Blvd., Pasadena, 91125, CA, USA
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12
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Farina D, Vujaklija I, Brånemark R, Bull AMJ, Dietl H, Graimann B, Hargrove LJ, Hoffmann KP, Huang HH, Ingvarsson T, Janusson HB, Kristjánsson K, Kuiken T, Micera S, Stieglitz T, Sturma A, Tyler D, Weir RFF, Aszmann OC. Toward higher-performance bionic limbs for wider clinical use. Nat Biomed Eng 2023; 7:473-485. [PMID: 34059810 DOI: 10.1038/s41551-021-00732-x] [Citation(s) in RCA: 68] [Impact Index Per Article: 68.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Accepted: 04/01/2021] [Indexed: 12/19/2022]
Abstract
Most prosthetic limbs can autonomously move with dexterity, yet they are not perceived by the user as belonging to their own body. Robotic limbs can convey information about the environment with higher precision than biological limbs, but their actual performance is substantially limited by current technologies for the interfacing of the robotic devices with the body and for transferring motor and sensory information bidirectionally between the prosthesis and the user. In this Perspective, we argue that direct skeletal attachment of bionic devices via osseointegration, the amplification of neural signals by targeted muscle innervation, improved prosthesis control via implanted muscle sensors and advanced algorithms, and the provision of sensory feedback by means of electrodes implanted in peripheral nerves, should all be leveraged towards the creation of a new generation of high-performance bionic limbs. These technologies have been clinically tested in humans, and alongside mechanical redesigns and adequate rehabilitation training should facilitate the wider clinical use of bionic limbs.
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Affiliation(s)
- Dario Farina
- Department of Bioengineering, Imperial College London, London, UK.
| | - Ivan Vujaklija
- Department of Electrical Engineering and Automation, Aalto University, Espoo, Finland
| | - Rickard Brånemark
- Center for Extreme Bionics, Biomechatronics Group, MIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Orthopaedics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Anthony M J Bull
- Department of Bioengineering, Imperial College London, London, UK
| | - Hans Dietl
- Ottobock Products SE & Co. KGaA, Vienna, Austria
| | | | - Levi J Hargrove
- Center for Bionic Medicine, Shirley Ryan AbilityLab, Chicago, IL, USA
- Department of Physical Medicine & Rehabilitation, Northwestern University, Chicago, IL, USA
- Department of Biomedical Engineering, Northwestern University, Chicago, IL, USA
| | - Klaus-Peter Hoffmann
- Department of Medical Engineering & Neuroprosthetics, Fraunhofer-Institut für Biomedizinische Technik, Sulzbach, Germany
| | - He Helen Huang
- NCSU/UNC Joint Department of Biomedical Engineering, North Carolina State University, Raleigh, NC, USA
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Thorvaldur Ingvarsson
- Department of Research and Development, Össur Iceland, Reykjavík, Iceland
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
| | - Hilmar Bragi Janusson
- School of Engineering and Natural Sciences, University of Iceland, Reykjavík, Iceland
| | | | - Todd Kuiken
- Center for Bionic Medicine, Shirley Ryan AbilityLab, Chicago, IL, USA
- Department of Physical Medicine & Rehabilitation, Northwestern University, Chicago, IL, USA
- Department of Biomedical Engineering, Northwestern University, Chicago, IL, USA
| | - Silvestro Micera
- The Biorobotics Institute and Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, Pontedera, Italy
- Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, Pontedera, Italy
- Bertarelli Foundation Chair in Translational NeuroEngineering, Center for Neuroprosthetics and Institute of Bioengineering, School of Engineering, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland
| | - Thomas Stieglitz
- Laboratory for Biomedical Microtechnology, Department of Microsystems Engineering-IMTEK, BrainLinks-BrainTools Center and Bernstein Center Freiburg, University of Freiburg, Freiburg, Germany
| | - Agnes Sturma
- Department of Bioengineering, Imperial College London, London, UK
- Clinical Laboratory for Bionic Extremity Reconstruction, Department of Plastic and Reconstructive Surgery, Medical University of Vienna, Vienna, Austria
| | - Dustin Tyler
- Case School of Engineering, Case Western Reserve University, Cleveland, OH, USA
- Louis Stokes Veterans Affairs Medical Centre, Cleveland, OH, USA
| | - Richard F Ff Weir
- Biomechatronics Development Laboratory, Bioengineering Department, University of Colorado Denver and VA Eastern Colorado Healthcare System, Aurora, CO, USA
| | - Oskar C Aszmann
- Clinical Laboratory for Bionic Extremity Reconstruction, Department of Plastic and Reconstructive Surgery, Medical University of Vienna, Vienna, Austria
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13
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Malesevic N, Björkman A, Andersson GS, Cipriani C, Antfolk C. Evaluation of Simple Algorithms for Proportional Control of Prosthetic Hands Using Intramuscular Electromyography. SENSORS 2022; 22:s22135054. [PMID: 35808549 PMCID: PMC9269860 DOI: 10.3390/s22135054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 06/28/2022] [Accepted: 06/29/2022] [Indexed: 02/01/2023]
Abstract
Although seemingly effortless, the control of the human hand is backed by an elaborate neuro-muscular mechanism. The end result is typically a smooth action with the precise positioning of the joints of the hand and an exerted force that can be modulated to enable precise interaction with the surroundings. Unfortunately, even the most sophisticated technology cannot replace such a comprehensive role but can offer only basic hand functionalities. This issue arises from the drawbacks of the prosthetic hand control strategies that commonly rely on surface EMG signals that contain a high level of noise, thus limiting accurate and robust multi-joint movement estimation. The use of intramuscular EMG results in higher quality signals which, in turn, lead to an improvement in prosthetic control performance. Here, we present the evaluation of fourteen common/well-known algorithms (mean absolute value, variance, slope sign change, zero crossing, Willison amplitude, waveform length, signal envelope, total signal energy, Teager energy in the time domain, Teager energy in the frequency domain, modified Teager energy, mean of signal frequencies, median of signal frequencies, and firing rate) for the direct and proportional control of a prosthetic hand. The method involves the estimation of the forces generated in the hand by using different algorithms applied to iEMG signals from our recently published database, and comparing them to the measured forces (ground truth). The results presented in this paper are intended to be used as a baseline performance metric for more advanced algorithms that will be made and tested using the same database.
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Affiliation(s)
- Nebojsa Malesevic
- Department of Biomedical Engineering, Faculty of Engineering, Lund University, 223 63 Lund, Sweden
| | - Anders Björkman
- Department of Hand Surgery, Institute of Clinical Sciences, Sahlgrenska Academy, Sahlgrenska University Hospital, University of Gothenburg, 402 33 Gothenburg, Sweden
| | - Gert S Andersson
- Department of Clinical Neurophysiology, Skåne University Hospital, 223 63 Lund, Sweden
- Department of Clinical Sciences in Lund-Neurophysiology, Lund University, 223 63 Lund, Sweden
| | - Christian Cipriani
- The BioRobotics Institute, Scuola Superiore Sant'Anna, 56025 Pisa, Italy
| | - Christian Antfolk
- Department of Biomedical Engineering, Faculty of Engineering, Lund University, 223 63 Lund, Sweden
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14
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Ahkami B, Mastinu E, Earley EJ, Ortiz-Catalan M. Extra-neural signals from severed nerves enable intrinsic hand movements in transhumeral amputations. Sci Rep 2022; 12:10218. [PMID: 35715459 PMCID: PMC9206000 DOI: 10.1038/s41598-022-13363-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 05/24/2022] [Indexed: 11/22/2022] Open
Abstract
Robotic prostheses controlled by myoelectric signals can restore limited but important hand function in individuals with upper limb amputation. The lack of individual finger control highlights the yet insurmountable gap to fully replacing a biological hand. Implanted electrodes around severed nerves have been used to elicit sensations perceived as arising from the missing limb, but using such extra-neural electrodes to record motor signals that allow for the decoding of phantom movements has remained elusive. Here, we showed the feasibility of using signals from non-penetrating neural electrodes to decode intrinsic hand and finger movements in individuals with above-elbow amputations. We found that information recorded with extra-neural electrodes alone was enough to decode phantom hand and individual finger movements, and as expected, the addition of myoelectric signals reduced classification errors both in offline and in real-time decoding.
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Affiliation(s)
- Bahareh Ahkami
- Center for Bionics and Pain Research, Mölndal, Sweden.,Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Enzo Mastinu
- Center for Bionics and Pain Research, Mölndal, Sweden.,Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Eric J Earley
- Center for Bionics and Pain Research, Mölndal, Sweden.,Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Max Ortiz-Catalan
- Center for Bionics and Pain Research, Mölndal, Sweden. .,Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden. .,Operational Area 3, Sahlgrenska University Hospital, Mölndal, Sweden. .,Department of Orthopaedics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
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15
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Gstoettner C, Festin C, Prahm C, Bergmeister KD, Salminger S, Sturma A, Hofer C, Russold MF, Howard CL, McDonnall D, Farina D, Aszmann OC. Feasibility of a Wireless Implantable Multi-electrode System for High-bandwidth Prosthetic Interfacing: Animal and Cadaver Study. Clin Orthop Relat Res 2022; 480:1191-1204. [PMID: 35202032 PMCID: PMC9263498 DOI: 10.1097/corr.0000000000002135] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Accepted: 01/19/2022] [Indexed: 01/31/2023]
Abstract
BACKGROUND Currently used prosthetic solutions in upper extremity amputation have limited functionality, owing to low information transfer rates of neuromuscular interfacing. Although surgical innovations have expanded the functional potential of the residual limb, available interfaces are inefficacious in translating this potential into improved prosthetic control. There is currently no implantable solution for functional interfacing in extremity amputation which offers long-term stability, high information transfer rates, and is applicable for all levels of limb loss. In this study, we presented a novel neuromuscular implant, the the Myoelectric Implantable Recording Array (MIRA). To our knowledge, it is the first fully implantable system for prosthetic interfacing with a large channel count, comprising 32 intramuscular electrodes. QUESTIONS/PURPOSES The purpose of this study was to evaluate the MIRA in terms of biocompatibility, functionality, and feasibility of implantation to lay the foundations for clinical application. This was achieved through small- and large-animal studies as well as test surgeries in a human cadaver. METHODS We evaluated the biocompatibility of the system's intramuscular electromyography (EMG) leads in a rabbit model. Ten leads as well as 10 pieces of a biologically inert control material were implanted into the paravertebral muscles of four animals. After a 3-month implantation, tissue samples were taken and histopathological assessment performed. The probes were scored according to a protocol for the assessment of the foreign body response, with primary endpoints being inflammation score, tissue response score, and capsule thickness in µm. In a second study, chronic functionality of the full system was evaluated in large animals. The MIRA was implanted into the shoulder region of six dogs and three sheep, with intramuscular leads distributed across agonist and antagonist muscles of shoulder flexion. During the observation period, regular EMG measurements were performed. The implants were removed after 5 to 6 months except for one animal, which retained the implant for prolonged observation. Primary endpoints of the large-animal study were mechanical stability, telemetric capability, and EMG signal quality. A final study involved the development of test surgeries in a fresh human cadaver, with the goal to determine feasibility to implant relevant target muscles for prosthetic control at all levels of major upper limb amputation. RESULTS Evaluation of the foreign body reaction revealed favorable biocompatibility and a low-grade tissue response in the rabbit study. No differences regarding inflammation score (EMG 4.60 ± 0.97 [95% CI 4.00 to 5.20] versus control 4.20 ± 1.48 [95% CI 3.29 to 5.11]; p = 0.51), tissue response score (EMG 4.00 ± 0.82 [95% CI 3.49 to 4.51] versus control 4.00 ± 0.94 [95% CI 3.42 to 4.58]; p > 0.99), or thickness of capsule (EMG 19.00 ± 8.76 µm [95% CI 13.57 to 24.43] versus control 29.00 ± 23.31 µm [95% CI 14.55 to 43.45]; p = 0.29) were found compared with the inert control article (high-density polyethylene) after 3 months of intramuscular implantation. Throughout long-term implantation of the MIRA in large animals, telemetric communication remained unrestricted in all specimens. Further, the implants retained the ability to record and transmit intramuscular EMG data in all animals except for two sheep where the implants became dislocated shortly after implantation. Electrode impedances remained stable and below 5 kΩ. Regarding EMG signal quality, there was little crosstalk between muscles and overall average signal-to-noise ratio was 22.2 ± 6.2 dB. During the test surgeries, we found that it was possible to implant the MIRA at all major amputation levels of the upper limb in a human cadaver (the transradial, transhumeral, and glenohumeral levels). For each level, it was possible to place the central unit in a biomechanically stable environment to provide unhindered telemetry, while reaching the relevant target muscles for prosthetic control. At only the glenohumeral level, it was not possible to reach the teres major and latissimus dorsi muscles, which would require longer lead lengths. CONCLUSION As assessed in a combination of animal model and cadaver research, the MIRA shows promise for clinical research in patients with limb amputation, where it may be employed for all levels of major upper limb amputation to provide long-term stable intramuscular EMG transmission. CLINICAL RELEVANCE In our study, the MIRA provided high-bandwidth prosthetic interfacing through intramuscular electrode sites. Its high number of individual EMG channels may be combined with signal decoding algorithms for accessing spinal motor neuron activity after targeted muscle reinnervation, thus providing numerous degrees of freedom. Together with recent innovations in amputation surgery, the MIRA might enable improved control approaches for upper limb amputees, particularly for patients with above-elbow amputation where the mismatch between available control signals and necessary degrees of freedom for prosthetic control is highest.
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Affiliation(s)
- Clemens Gstoettner
- Clinical Laboratory for Bionic Extremity Reconstruction, Department of Plastic, Reconstructive and Aesthetic Surgery, Medical University of Vienna, Vienna, Austria
| | - Christopher Festin
- Clinical Laboratory for Bionic Extremity Reconstruction, Department of Plastic, Reconstructive and Aesthetic Surgery, Medical University of Vienna, Vienna, Austria
| | - Cosima Prahm
- Clinical Laboratory for Bionic Extremity Reconstruction, Department of Plastic, Reconstructive and Aesthetic Surgery, Medical University of Vienna, Vienna, Austria
- BG Trauma Clinic, Eberhard Karls University, Department for Plastic and Reconstructive Surgery, Tübingen, Germany
| | - Konstantin D. Bergmeister
- Clinical Laboratory for Bionic Extremity Reconstruction, Department of Plastic, Reconstructive and Aesthetic Surgery, Medical University of Vienna, Vienna, Austria
- Karl Landsteiner University of Health Sciences, Krems, Austria
- Department of Plastic, Aesthetic and Reconstructive Surgery, University Hospital St. Poelten, St. Poelten, Austria
| | - Stefan Salminger
- Clinical Laboratory for Bionic Extremity Reconstruction, Department of Plastic, Reconstructive and Aesthetic Surgery, Medical University of Vienna, Vienna, Austria
- Department of Plastic, Reconstructive and Aesthetic Surgery, Medical University of Vienna, Vienna, Austria
| | - Agnes Sturma
- Clinical Laboratory for Bionic Extremity Reconstruction, Department of Plastic, Reconstructive and Aesthetic Surgery, Medical University of Vienna, Vienna, Austria
- Department of Bioengineering, Imperial College London, London, UK
| | - Christian Hofer
- Clinical Laboratory for Bionic Extremity Reconstruction, Department of Plastic, Reconstructive and Aesthetic Surgery, Medical University of Vienna, Vienna, Austria
- Otto Bock Healthcare Products GmbH, Vienna, Austria
| | | | | | | | - Dario Farina
- Department of Bioengineering, Imperial College London, London, UK
| | - Oskar C. Aszmann
- Clinical Laboratory for Bionic Extremity Reconstruction, Department of Plastic, Reconstructive and Aesthetic Surgery, Medical University of Vienna, Vienna, Austria
- Department of Plastic, Reconstructive and Aesthetic Surgery, Medical University of Vienna, Vienna, Austria
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16
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Remote Sensing System for Motor Nerve Impulse. SENSORS 2022; 22:s22082823. [PMID: 35458809 PMCID: PMC9027399 DOI: 10.3390/s22082823] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 03/28/2022] [Accepted: 03/30/2022] [Indexed: 12/04/2022]
Abstract
In this article, we present our research achievements regarding the development of a remote sensing system for motor pulse acquisition, as a first step towards a complete neuroprosthetic arm. We present the fabrication process of an implantable electrode for nerve impulse acquisition, together with an innovative wirelessly controlled system. In our study, these were combined into an implantable device for attachment to peripheral nerves. Mechanical and biocompatibility tests were performed, as well as in vivo testing on pigs using the developed system. This testing and the experimental results are presented in a comprehensive manner, demonstrating that the system is capable of accomplishing the requirements of its designed application. Most significantly, neural electrical signals were acquired and transmitted out of the body during animal experiments, which were conducted according to ethical regulations in the field.
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17
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Farooq A, Hayat F, Zafar S, Butt NZ. Thin flexible lab-on-a-film for impedimetric sensing in biomedical applications. Sci Rep 2022; 12:1066. [PMID: 35058505 PMCID: PMC8776742 DOI: 10.1038/s41598-022-04917-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Accepted: 12/15/2021] [Indexed: 11/10/2022] Open
Abstract
AbstractMicrofluidic cytometers based on coulter principle have recently shown a great potential for point of care biosensors for medical diagnostics. Here, we explore the design of an impedimetric microfluidic cytometer on flexible substrate. Two coplanar microfluidic geometries are compared to highlight the sensitivity of the device to the microelectrode positions relative to the detection volume. We show that the microelectrodes surface area and the geometry of the sensing volume for the cells strongly influence the output response of the sensor. Reducing the sensing volume decreases the pulse width but increases the overall pulse amplitude with an enhanced signal-to-noise ratio (~ max. SNR = 38.78 dB). For the proposed design, the SNR was adequate to enable good detection and differentiation of 10 µm diameter polystyrene beads and leukemia cells (~ 6–21 µm). Also, a systematic approach for irreversible & strong bond strength between the thin flexible surfaces that make up the biochip is explored in this work. We observed the changes in surface wettability due to various methods of surface treatment can be a valuable metric for determining bond strength. We observed permanent bonding between microelectrode defined polypropylene surface and microchannel carved PDMS due to polar/silanol groups formed by plasma treatment and consequent covalent crosslinking by amine groups. These experimental insights provide valuable design guidelines for enhancing the sensitivity of coulter based flexible lab-on-a-chip devices which have a wide range of applications in point of care diagnostics.
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18
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Mian SY, Honey JR, Carnicer-Lombarte A, Barone DG. Large Animal Studies to Reduce the Foreign Body Reaction in Brain-Computer Interfaces: A Systematic Review. BIOSENSORS 2021; 11:275. [PMID: 34436077 PMCID: PMC8392711 DOI: 10.3390/bios11080275] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 08/10/2021] [Accepted: 08/11/2021] [Indexed: 01/08/2023]
Abstract
Brain-computer interfaces (BCI) are reliant on the interface between electrodes and neurons to function. The foreign body reaction (FBR) that occurs in response to electrodes in the brain alters this interface and may pollute detected signals, ultimately impeding BCI function. The size of the FBR is influenced by several key factors explored in this review; namely, (a) the size of the animal tested, (b) anatomical location of the BCI, (c) the electrode morphology and coating, (d) the mechanics of electrode insertion, and (e) pharmacological modification (e.g., drug eluting electrodes). Trialing methods to reduce FBR in vivo, particularly in large models, is important to enable further translation in humans, and we systematically reviewed the literature to this effect. The OVID, MEDLINE, EMBASE, SCOPUS and Scholar databases were searched. Compiled results were analysed qualitatively. Out of 8388 yielded articles, 13 were included for analysis, with most excluded studies experimenting on murine models. Cats, rabbits, and a variety of breeds of minipig/marmoset were trialed. On average, over 30% reduction in inflammatory cells of FBR on post mortem histology was noted across intervention groups. Similar strategies to those used in rodent models, including tip modification and flexible and sinusoidal electrode configurations, all produced good effects in histology; however, a notable absence of trials examining the effect on BCI end-function was noted. Future studies should assess whether the reduction in FBR correlates to an improvement in the functional effect of the intended BCI.
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Affiliation(s)
- Shan Yasin Mian
- Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London SW7 2BX, UK
| | - Jonathan Roy Honey
- School of Clinical Medicine, University of Cambridge, Cambridge CB3 0DF, UK;
| | | | - Damiano Giuseppe Barone
- Centre for Brain Repair, Department of Clinical Neurosciences, University of Cambridge, Cambridge CB3 0DF, UK;
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19
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Abstract
Targeted muscle reinnervation (TMR) is a surgical procedure, whereby nerves without muscle targets after extremity amputation are transferred to residual stump muscles. Thereby, the control of prosthesis is improved by increasing the number of independent muscle signals. The authors describe indications for TMR to improve prosthetic control and present standard nerve transfer matrices suitable for transhumeral and glenohumeral amputees. In addition, the perioperative procedure is described, including preoperative testing, surgical approach, and postoperative rehabilitation. Based on recent neurophysiological insights and technological advances, they present an outlook into the future of prosthetic control combining TMR and implantable electromyographic technology.
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Affiliation(s)
- Konstantin D Bergmeister
- Clinical Laboratory for Bionic Extremity Reconstruction, Division of Plastic and Reconstructive Surgery, Department of Surgery, Medical University of Vienna, Vienna, Austria; Department of Plastic, Reconstructive and Aesthetic Surgery, University Hospital St. Poelten, St. Poelten, Austria
| | - Stefan Salminger
- Clinical Laboratory for Bionic Extremity Reconstruction, Division of Plastic and Reconstructive Surgery, Department of Surgery, Medical University of Vienna, Vienna, Austria
| | - Oskar C Aszmann
- Clinical Laboratory for Bionic Extremity Reconstruction, Division of Plastic and Reconstructive Surgery, Department of Surgery, Medical University of Vienna, Vienna, Austria.
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20
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Fleming A, Stafford N, Huang S, Hu X, Ferris DP, Huang H(H. Myoelectric control of robotic lower limb prostheses: a review of electromyography interfaces, control paradigms, challenges and future directions. J Neural Eng 2021; 18:10.1088/1741-2552/ac1176. [PMID: 34229307 PMCID: PMC8694273 DOI: 10.1088/1741-2552/ac1176] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 07/06/2021] [Indexed: 11/16/2022]
Abstract
Objective.Advanced robotic lower limb prostheses are mainly controlled autonomously. Although the existing control can assist cyclic movements during locomotion of amputee users, the function of these modern devices is still limited due to the lack of neuromuscular control (i.e. control based on human efferent neural signals from the central nervous system to peripheral muscles for movement production). Neuromuscular control signals can be recorded from muscles, called electromyographic (EMG) or myoelectric signals. In fact, using EMG signals for robotic lower limb prostheses control has been an emerging research topic in the field for the past decade to address novel prosthesis functionality and adaptability to different environments and task contexts. The objective of this paper is to review robotic lower limb Prosthesis control via EMG signals recorded from residual muscles in individuals with lower limb amputations.Approach.We performed a literature review on surgical techniques for enhanced EMG interfaces, EMG sensors, decoding algorithms, and control paradigms for robotic lower limb prostheses.Main results.This review highlights the promise of EMG control for enabling new functionalities in robotic lower limb prostheses, as well as the existing challenges, knowledge gaps, and opportunities on this research topic from human motor control and clinical practice perspectives.Significance.This review may guide the future collaborations among researchers in neuromechanics, neural engineering, assistive technologies, and amputee clinics in order to build and translate true bionic lower limbs to individuals with lower limb amputations for improved motor function.
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Affiliation(s)
- Aaron Fleming
- Joint Department of Biomedical Engineering, North Carolina State University, Raleigh, NC 27695, United States of America
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States of America
- Equal contribution as the first author
| | - Nicole Stafford
- Department of Mechanical and Aerospace Engineering, University of Florida, Gainesville, FL 32611, United States of America
- Equal contribution as the first author
| | - Stephanie Huang
- Joint Department of Biomedical Engineering, North Carolina State University, Raleigh, NC 27695, United States of America
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States of America
| | - Xiaogang Hu
- Joint Department of Biomedical Engineering, North Carolina State University, Raleigh, NC 27695, United States of America
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States of America
| | - Daniel P Ferris
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611, United States of America
| | - He (Helen) Huang
- Joint Department of Biomedical Engineering, North Carolina State University, Raleigh, NC 27695, United States of America
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States of America
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21
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Abstract
BACKGROUND Recent progress in biomechatronics and vascularized composite allotransplantation have occurred in the absence of congruent advancements in the surgical approaches generally utilized for limb amputation. Consideration of these advances, as well as of both novel and time-honored reconstructive surgical techniques, argues for a fundamental reframing of the way in which amputation procedures should be performed. METHODS We review sentinel developments in external prosthetic limb technology and limb transplantation, in addition to standard and emerging reconstructive surgical techniques relevant to limb modification, and then propose a new paradigm for limb amputation. RESULTS An approach to limb amputation based on the availability of native tissues is proposed, with the intent of maximizing limb function, limiting neuropathic pain, restoring limb perception/proprioception and mitigating limb atrophy. CONCLUSIONS We propose a reinvention of the manner in which limb amputations are performed, framed in the context of time-tested reconstructive techniques, as well as novel, state-of-the-art surgical procedures. Implementation of the proposed techniques in the acute setting has the potential to elevate advanced limb replacement strategies to a clinical solution that perhaps exceeds what is possible through traditional surgical approaches to limb salvage. We therefore argue that amputation, performed with the intent of optimizing the residuum for interaction with either a bionic or a transplanted limb, should be viewed not as a surgical failure, but as an alternative form of limb reconstruction.
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22
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Srinivasan SS, Carty MJ, Calvaresi PW, Clites TR, Maimon BE, Taylor CR, Zorzos AN, Herr H. On prosthetic control: A regenerative agonist-antagonist myoneural interface. Sci Robot 2021; 2:2/6/eaan2971. [PMID: 33157872 DOI: 10.1126/scirobotics.aan2971] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2017] [Accepted: 05/10/2017] [Indexed: 01/25/2023]
Abstract
Prosthetic limb control is fundamentally constrained by the current amputation procedure. Since the U.S. Civil War, the external prosthesis has benefited from a pronounced level of innovation, but amputation technique has not significantly changed. During a standard amputation, nerves are transected without the reintroduction of proper neural targets, causing painful neuromas and rendering efferent recordings infeasible. Furthermore, the physiological agonist-antagonist muscle relationships are severed, precluding the generation of musculotendinous proprioception, an afferent feedback modality critical for joint stability, trajectory planning, and fine motor control. We establish an agonist-antagonist myoneural interface (AMI), a unique surgical paradigm for amputation. Regenerated free muscle grafts innervated with transected nerves are linked in agonist-antagonist relationships, emulating the dynamic interactions found within an intact limb. Using biomechanical, electrophysiological, and histological evaluations, we demonstrate a viable architecture for bidirectional signaling with transected motor nerves. Upon neural activation, the agonist muscle contracts, generating electromyographic signal. This contraction in the agonist creates a stretch in the mechanically linked antagonist muscle, producing afferent feedback, which is transmitted through its motor nerve. Histological results demonstrate regeneration and the presence of the spindle fibers responsible for afferent signal generation. These results suggest that the AMI will not only produce robust signals for the efferent control of an external prosthesis but also provide an amputee's central nervous system with critical musculotendinous proprioception, offering the potential for an enhanced prosthetic controllability and sensation.
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Affiliation(s)
- S S Srinivasan
- Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.,Center for Extreme Bionics, MIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - M J Carty
- Center for Extreme Bionics, MIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.,Department of Plastic and Reconstructive Surgery, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - P W Calvaresi
- Center for Extreme Bionics, MIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - T R Clites
- Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.,Center for Extreme Bionics, MIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - B E Maimon
- Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.,Center for Extreme Bionics, MIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - C R Taylor
- Center for Extreme Bionics, MIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.,Department of Media Arts and Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - A N Zorzos
- Center for Extreme Bionics, MIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - H Herr
- Center for Extreme Bionics, MIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
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23
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Paek AY, Brantley JA, Sujatha Ravindran A, Nathan K, He Y, Eguren D, Cruz-Garza JG, Nakagome S, Wickramasuriya DS, Chang J, Rashed-Al-Mahfuz M, Amin MR, Bhagat NA, Contreras-Vidal JL. A Roadmap Towards Standards for Neurally Controlled End Effectors. IEEE OPEN JOURNAL OF ENGINEERING IN MEDICINE AND BIOLOGY 2021; 2:84-90. [PMID: 35402986 PMCID: PMC8979628 DOI: 10.1109/ojemb.2021.3059161] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Revised: 12/24/2020] [Accepted: 02/09/2021] [Indexed: 12/02/2022] Open
Abstract
The control and manipulation of various types of end effectors such as powered exoskeletons, prostheses, and ‘neural’ cursors by brain-machine interface (BMI) systems has been the target of many research projects. A seamless “plug and play” interface between any BMI and end effector is desired, wherein similar user's intent cause similar end effectors to behave identically. This report is based on the outcomes of an IEEE Standards Association Industry Connections working group on End Effectors for Brain-Machine Interfacing that convened to identify and address gaps in the existing standards for BMI-based solutions with a focus on the end-effector component. A roadmap towards standardization of end effectors for BMI systems is discussed by identifying current device standards that are applicable for end effectors. While current standards address basic electrical and mechanical safety, and to some extent, performance requirements, several gaps exist pertaining to unified terminologies, data communication protocols, patient safety and risk mitigation.
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Affiliation(s)
| | - Justin A Brantley
- University of Houston Houston TX 77204 USA
- Department of BioengineeringUniversity of Pennsylvania Philadelphia PA 19104 USA
| | | | | | | | | | - Jesus G Cruz-Garza
- University of Houston Houston TX 77204 USA
- Department of Design and Environmental AnalysisCornell University Ithaca NY 14853 USA
| | | | | | | | - Md Rashed-Al-Mahfuz
- University of Houston Houston TX 77204 USA
- Department of Computer Science and EngineeringUniversity of Rajshahi Rajshahi 6205 Bangladesh
| | | | - Nikunj A Bhagat
- University of Houston Houston TX 77204 USA
- Feinstein Institutes for Medical Research Manhasset NY 11030 USA
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24
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Chronic Use of a Sensitized Bionic Hand Does Not Remap the Sense of Touch. Cell Rep 2020; 33:108539. [PMID: 33357421 PMCID: PMC9793568 DOI: 10.1016/j.celrep.2020.108539] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Revised: 09/23/2020] [Accepted: 11/25/2020] [Indexed: 12/30/2022] Open
Abstract
Electrical stimulation of tactile nerve fibers that innervated an amputated hand results in vivid sensations experienced at a specific location on the phantom hand, a phenomenon that can be leveraged to convey tactile feedback through bionic hands. Ideally, electrically evoked sensations would be experienced on the appropriate part of the hand: touch with the bionic index fingertip, for example, would elicit a sensation experienced on the index fingertip. However, the perceived locations of sensations are determined by the idiosyncratic position of the stimulating electrode in the nerve and thus are difficult to predict or control. This problem could be circumvented if perceived sensations shifted over time to become consistent with the position of the sensor that triggers them. We show that, after long-term use of a neuromusculoskeletal prosthesis that featured a mismatch between the sensor location and the resulting tactile experience, the perceived location of the touch did not change.
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25
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Ortiz-Catalan M, Mastinu E, Sassu P, Aszmann O, Brånemark R. Self-Contained Neuromusculoskeletal Arm Prostheses. N Engl J Med 2020; 382:1732-1738. [PMID: 32348644 DOI: 10.1056/nejmoa1917537] [Citation(s) in RCA: 104] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
We report the use of a bone-anchored, self-contained robotic arm with both sensory and motor components over 3 to 7 years in four patients after transhumeral amputation. The implant allowed for bidirectional communication between a prosthetic hand and electrodes implanted in the nerves and muscles of the upper arm and was anchored to the humerus through osseointegration, the process in which bone cells attach to an artificial surface without formation of fibrous tissue. Use of the device did not require formal training and depended on the intuitive intent of the user to activate movement and sensory feedback from the prosthesis. Daily use resulted in increasing sensory acuity and effectiveness in work and other activities of daily life. (Funded by the Promobilia Foundation and others.).
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Affiliation(s)
- Max Ortiz-Catalan
- From the Biomechatronics and Neurorehabilitation Laboratory, Department of Electrical Engineering, Chalmers University of Technology (M.O.-C., E.M.), the Department of Hand Surgery, Sahlgrenska University Hospital (P.S.), and the Department of Orthopedics, Gothenburg University (R.B.) - all in Gothenburg, Sweden; the Clinical Laboratory for Bionic Extremity Reconstruction, Division of Plastic and Reconstructive Surgery, Medical University of Vienna, Vienna (O.A.); and the Center for Extreme Bionics, Biomechatronics Group, MIT Media Lab, Massachusetts Institute of Technology, Cambridge (R.B.)
| | - Enzo Mastinu
- From the Biomechatronics and Neurorehabilitation Laboratory, Department of Electrical Engineering, Chalmers University of Technology (M.O.-C., E.M.), the Department of Hand Surgery, Sahlgrenska University Hospital (P.S.), and the Department of Orthopedics, Gothenburg University (R.B.) - all in Gothenburg, Sweden; the Clinical Laboratory for Bionic Extremity Reconstruction, Division of Plastic and Reconstructive Surgery, Medical University of Vienna, Vienna (O.A.); and the Center for Extreme Bionics, Biomechatronics Group, MIT Media Lab, Massachusetts Institute of Technology, Cambridge (R.B.)
| | - Paolo Sassu
- From the Biomechatronics and Neurorehabilitation Laboratory, Department of Electrical Engineering, Chalmers University of Technology (M.O.-C., E.M.), the Department of Hand Surgery, Sahlgrenska University Hospital (P.S.), and the Department of Orthopedics, Gothenburg University (R.B.) - all in Gothenburg, Sweden; the Clinical Laboratory for Bionic Extremity Reconstruction, Division of Plastic and Reconstructive Surgery, Medical University of Vienna, Vienna (O.A.); and the Center for Extreme Bionics, Biomechatronics Group, MIT Media Lab, Massachusetts Institute of Technology, Cambridge (R.B.)
| | - Oskar Aszmann
- From the Biomechatronics and Neurorehabilitation Laboratory, Department of Electrical Engineering, Chalmers University of Technology (M.O.-C., E.M.), the Department of Hand Surgery, Sahlgrenska University Hospital (P.S.), and the Department of Orthopedics, Gothenburg University (R.B.) - all in Gothenburg, Sweden; the Clinical Laboratory for Bionic Extremity Reconstruction, Division of Plastic and Reconstructive Surgery, Medical University of Vienna, Vienna (O.A.); and the Center for Extreme Bionics, Biomechatronics Group, MIT Media Lab, Massachusetts Institute of Technology, Cambridge (R.B.)
| | - Rickard Brånemark
- From the Biomechatronics and Neurorehabilitation Laboratory, Department of Electrical Engineering, Chalmers University of Technology (M.O.-C., E.M.), the Department of Hand Surgery, Sahlgrenska University Hospital (P.S.), and the Department of Orthopedics, Gothenburg University (R.B.) - all in Gothenburg, Sweden; the Clinical Laboratory for Bionic Extremity Reconstruction, Division of Plastic and Reconstructive Surgery, Medical University of Vienna, Vienna (O.A.); and the Center for Extreme Bionics, Biomechatronics Group, MIT Media Lab, Massachusetts Institute of Technology, Cambridge (R.B.)
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26
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Yildiz KA, Shin AY, Kaufman KR. Interfaces with the peripheral nervous system for the control of a neuroprosthetic limb: a review. J Neuroeng Rehabil 2020; 17:43. [PMID: 32151268 PMCID: PMC7063740 DOI: 10.1186/s12984-020-00667-5] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Accepted: 02/17/2020] [Indexed: 12/22/2022] Open
Abstract
The field of prosthetics has been evolving and advancing over the past decade, as patients with missing extremities are expecting to control their prostheses in as normal a way as possible. Scientists have attempted to satisfy this expectation by designing a connection between the nervous system of the patient and the prosthetic limb, creating the field of neuroprosthetics. In this paper, we broadly review the techniques used to bridge the patient's peripheral nervous system to a prosthetic limb. First, we describe the electrical methods including myoelectric systems, surgical innovations and the role of nerve electrodes. We then describe non-electrical methods used alone or in combination with electrical methods. Design concerns from an engineering point of view are explored, and novel improvements to obtain a more stable interface are described. Finally, a critique of the methods with respect to their long-term impacts is provided. In this review, nerve electrodes are found to be one of the most promising interfaces in the future for intuitive user control. Clinical trials with larger patient populations, and for longer periods of time for certain interfaces, will help to evaluate the clinical application of nerve electrodes.
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Affiliation(s)
- Kadir A Yildiz
- Motion Analysis Laboratory, Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA
| | - Alexander Y Shin
- Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA
| | - Kenton R Kaufman
- Motion Analysis Laboratory, Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA.
- Motion Analysis Laboratory, W. Hall Wendel, Jr., Musculoskeletal Research, 200 First Street SW, Rochester, MN, 55905, USA.
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27
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Aman M, Bergmeister KD, Festin C, Sporer ME, Russold MF, Gstoettner C, Podesser BK, Gail A, Farina D, Cederna P, Aszmann OC. Experimental Testing of Bionic Peripheral Nerve and Muscle Interfaces: Animal Model Considerations. Front Neurosci 2020; 13:1442. [PMID: 32116485 PMCID: PMC7025572 DOI: 10.3389/fnins.2019.01442] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2019] [Accepted: 12/23/2019] [Indexed: 12/05/2022] Open
Abstract
Introduction: Man-machine interfacing remains the main challenge for accurate and reliable control of bionic prostheses. Implantable electrodes in nerves and muscles may overcome some of the limitations by significantly increasing the interface's reliability and bandwidth. Before human application, experimental preclinical testing is essential to assess chronic in-vivo biocompatibility and functionality. Here, we analyze available animal models, their costs and ethical challenges in special regards to simulating a potentially life-long application in a short period of time and in non-biped animals. Methods: We performed a literature analysis following the PRISMA guidelines including all animal models used to record neural or muscular activity via implantable electrodes, evaluating animal models, group size, duration, origin of publication as well as type of interface. Furthermore, behavioral, ethical, and economic considerations of these models were analyzed. Additionally, we discuss experience and surgical approaches with rat, sheep, and primate models and an approach for international standardized testing. Results: Overall, 343 studies matched the search terms, dominantly originating from the US (55%) and Europe (34%), using mainly small animal models (rat: 40%). Electrode placement was dominantly neural (77%) compared to muscular (23%). Large animal models had a mean duration of 135 ± 87.2 days, with a mean of 5.3 ± 3.4 animals per trial. Small animal models had a mean duration of 85 ± 11.2 days, with a mean of 12.4 ± 1.7 animals. Discussion: Only 37% animal models were by definition chronic tests (>3 months) and thus potentially provide information on long-term performance. Costs for large animals were up to 45 times higher than small animals. However, costs are relatively small compared to complication costs in human long-term applications. Overall, we believe a combination of small animals for preliminary primary electrode testing and large animals to investigate long-term biocompatibility, impedance, and tissue regeneration parameters provides sufficient data to ensure long-term human applications.
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Affiliation(s)
- Martin Aman
- Clinical Laboratory for Bionic Extremity Reconstruction, Department of Surgery, Medical University of Vienna, Vienna, Austria.,Division of Biomedical Research, Medical University of Vienna, Vienna, Austria
| | - Konstantin D Bergmeister
- Clinical Laboratory for Bionic Extremity Reconstruction, Department of Surgery, Medical University of Vienna, Vienna, Austria.,Division of Biomedical Research, Medical University of Vienna, Vienna, Austria
| | - Christopher Festin
- Clinical Laboratory for Bionic Extremity Reconstruction, Department of Surgery, Medical University of Vienna, Vienna, Austria
| | - Matthias E Sporer
- Clinical Laboratory for Bionic Extremity Reconstruction, Department of Surgery, Medical University of Vienna, Vienna, Austria.,Division of Biomedical Research, Medical University of Vienna, Vienna, Austria
| | | | - Clemens Gstoettner
- Clinical Laboratory for Bionic Extremity Reconstruction, Department of Surgery, Medical University of Vienna, Vienna, Austria
| | - Bruno K Podesser
- Division of Biomedical Research, Medical University of Vienna, Vienna, Austria
| | - Alexander Gail
- Cognitive Neuroscience Lab, German Primate Center, Göttingen, Germany
| | - Dario Farina
- Department of Bioengineering, Imperial College, London, United Kingdom
| | - Paul Cederna
- Section of Plastic and Reconstructive Surgery, Department of Surgery, University of Michigan, Ann Arbor, MI, United States
| | - Oskar C Aszmann
- Clinical Laboratory for Bionic Extremity Reconstruction, Department of Surgery, Medical University of Vienna, Vienna, Austria.,Division of Plastic and Reconstructive Surgery, Medical University of Vienna, Vienna, Austria
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28
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A review for the peripheral nerve interface designer. J Neurosci Methods 2019; 332:108523. [PMID: 31743684 DOI: 10.1016/j.jneumeth.2019.108523] [Citation(s) in RCA: 53] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2019] [Revised: 11/14/2019] [Accepted: 11/15/2019] [Indexed: 12/11/2022]
Abstract
Informational density and relative accessibility of the peripheral nervous system make it an attractive site for therapeutic intervention. Electrode-based electrophysiological interfaces with peripheral nerves have been under development since the 1960s and, for several applications, have seen widespread clinical implementation. However, many applications require a combination of neural target resolution and stability which has thus far eluded existing peripheral nerve interfaces (PNIs). With the goal of aiding PNI designers in development of devices that meet the demands of next-generation applications, this review seeks to collect and present practical considerations and best practices which emerge from the literature, including both lessons learned during early PNI development and recent ideas. Fundamental and practical principles guiding PNI design are reviewed, followed by an updated and critical account of existing PNI designs and strategies. Finally, a brief survey of in vitro and in vivo PNI characterization methods is presented.
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29
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Paek AY, Gailey A, Parikh PJ, Santello M, Contreras-Vidal JL. Regression-based reconstruction of human grip force trajectories with noninvasive scalp electroencephalography. J Neural Eng 2019; 16:066030. [DOI: 10.1088/1741-2552/ab4063] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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30
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Håkansson B, Reinfeldt S, Persson AC, Jansson KJF, Rigato C, Hultcrantz M, Eeg-Olofsson M. The bone conduction implant – a review and 1-year follow-up. Int J Audiol 2019; 58:945-955. [DOI: 10.1080/14992027.2019.1657243] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Affiliation(s)
- Bo Håkansson
- Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Sabine Reinfeldt
- Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Ann-Charlotte Persson
- Department of Audiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | | | - Cristina Rigato
- Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Malou Hultcrantz
- Department of Clinical Science, Intervention and Technology, Karolinska Institute, Stockholm, Sweden
| | - Måns Eeg-Olofsson
- Department of Otolaryngology, Head and Neck Surgery, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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31
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Ortiz-Catalan M, Wessberg J, Mastinu E, Naber A, Branemark R. Patterned Stimulation of Peripheral Nerves Produces Natural Sensations With Regards to Location but Not Quality. ACTA ACUST UNITED AC 2019. [DOI: 10.1109/tmrb.2019.2931758] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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32
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Hansen WB, Scheier LM. Specialized Smartphone Intervention Apps: Review of 2014 to 2018 NIH Funded Grants. JMIR Mhealth Uhealth 2019; 7:e14655. [PMID: 31359866 PMCID: PMC6690163 DOI: 10.2196/14655] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Revised: 06/25/2019] [Accepted: 06/27/2019] [Indexed: 12/28/2022] Open
Abstract
Background The widespread adoption of smartphones provides researchers with expanded opportunities for developing, testing and implementing interventions. National Institutes of Health (NIH) funds competitive, investigator-initiated grant applications. Funded grants represent the state of the science and therefore are expected to anticipate the progression of research in the near future. Objective The objective of this paper is to provide an analysis of the kinds of smartphone-based intervention apps funded in NIH research grants during the five-year period between 2014 and 2018. Methods We queried NIH Reporter to identify candidate funded grants that addressed mHealth and the use of smartphones. From 1524 potential grants, we identified 397 that met the requisites of including an intervention app. Each grant’s abstract was analyzed to understand the focus of intervention. The year of funding, type of activity (eg, R01, R34, and so on) and funding were noted. Results We identified 13 categories of strategies employed in funded smartphone intervention apps. Most grants included either one (35.0%) or two (39.0%) intervention approaches. These included artificial intelligence (57 apps), bionic adaptation (33 apps), cognitive and behavioral therapies (68 apps), contingency management (24 apps), education and information (85 apps), enhanced motivation (50 apps), facilitating, reminding and referring (60 apps), gaming and gamification (52 apps), mindfulness training (18 apps), monitoring and feedback (192 apps), norm setting (7 apps), skills training (85 apps) and social support and social networking (59 apps). The most frequently observed grant types included Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) grants (40.8%) and Research Project Grants (R01s) (26.2%). The number of grants funded increased through the five-year period from 60 in 2014 to 112 in 2018. Conclusions Smartphone intervention apps are increasingly competitive for NIH funding. They reflect a wide diversity of approaches that have significant potential for use in applied settings.
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33
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Salminger S, Sturma A, Hofer C, Evangelista M, Perrin M, Bergmeister KD, Roche AD, Hasenoehrl T, Dietl H, Farina D, Aszmann OC. Long-term implant of intramuscular sensors and nerve transfers for wireless control of robotic arms in above-elbow amputees. Sci Robot 2019; 4:4/32/eaaw6306. [PMID: 33137771 DOI: 10.1126/scirobotics.aaw6306] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2019] [Accepted: 06/20/2019] [Indexed: 11/02/2022]
Abstract
Targeted muscle reinnervation (TMR) amplifies the electrical activity of nerves at the stump of amputees by redirecting them in remnant muscles above the amputation. The electrical activity of the reinnervated muscles can be used to extract natural control signals. Nonetheless, current control systems, mainly based on noninvasive muscle recordings, fail to provide accurate and reliable control over time. This is one of the major reasons for prosthetic abandonment. This prospective interventional study includes three unilateral above-elbow amputees and reports the long-term (2.5 years) implant of wireless myoelectric sensors in the reinnervation sites after TMR and their use for control of robotic arms in daily life. It therefore demonstrates the clinical viability of chronically implanted myoelectric interfaces that amplify nerve activity through TMR. The patients showed substantial functional improvements using the implanted system compared with control based on surface electrodes. The combination of TMR and chronically implanted sensors may drastically improve robotic limb replacement in above-elbow amputees.
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Affiliation(s)
- S Salminger
- Division of Plastic and Reconstructive Surgery, Department of Surgery, Medical University of Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria.,Christian Doppler Laboratory for Restoration of Extremity Function, Medical University of Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria
| | - A Sturma
- Christian Doppler Laboratory for Restoration of Extremity Function, Medical University of Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria.,Department of Bioengineering, Royal School of Mines, Imperial College London, South Kensington Campus, Kensington, London SW7 2AZ, UK
| | - C Hofer
- Christian Doppler Laboratory for Restoration of Extremity Function, Medical University of Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria.,Otto Bock Healthcare Products GmbH, Brehmstraße 16, A-1110 Vienna, Austria
| | - M Evangelista
- Alfred Mann Foundation, 25134 Rye Canyon Loop #200, Valencia, CA 91355, USA
| | - M Perrin
- Alfred Mann Foundation, 25134 Rye Canyon Loop #200, Valencia, CA 91355, USA
| | - K D Bergmeister
- Division of Plastic and Reconstructive Surgery, Department of Surgery, Medical University of Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria.,Christian Doppler Laboratory for Restoration of Extremity Function, Medical University of Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria
| | - A D Roche
- Christian Doppler Laboratory for Restoration of Extremity Function, Medical University of Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria.,Deanery of Clinical Sciences, The University of Edinburgh, Scotland, UK.,Department of Plastic & Reconstructive Surgery, NHS Lothian, Scotland, UK
| | - T Hasenoehrl
- Department of Physical Medicine and Rehabilitation, Medical University of Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria
| | - H Dietl
- Otto Bock Healthcare Products GmbH, Brehmstraße 16, A-1110 Vienna, Austria
| | - D Farina
- Department of Bioengineering, Royal School of Mines, Imperial College London, South Kensington Campus, Kensington, London SW7 2AZ, UK
| | - O C Aszmann
- Division of Plastic and Reconstructive Surgery, Department of Surgery, Medical University of Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria. .,Christian Doppler Laboratory for Restoration of Extremity Function, Medical University of Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria
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Aman M, Festin C, Sporer ME, Gstoettner C, Prahm C, Bergmeister KD, Aszmann OC. Bionic reconstruction : Restoration of extremity function with osseointegrated and mind-controlled prostheses. Wien Klin Wochenschr 2019; 131:599-607. [PMID: 31201567 PMCID: PMC6908564 DOI: 10.1007/s00508-019-1518-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2018] [Revised: 05/22/2019] [Accepted: 05/25/2019] [Indexed: 12/17/2022]
Abstract
Background Loss of an extremity at any level has a major impact on a patient’s life. Using bionic reconstruction, extremity function can be restored and the patient reintegrated into daily life. Surgical procedures including selective nerve transfer and anchoring of prostheses into bone are combined with structured rehabilitation and modern prosthetic fitting. The patient is thereby able to use the prostheses intuitively and with multiple degrees of freedom. Methods This article presents the concept and approach for modern bionic reconstruction in detail and the relevant literature. The nerve transfer matrices for targeted muscle reinnervation (TMR) and the concept of osseointegration to optimally fit a patient with a modern prosthesis are described in detail. As a clinical example, the case of a patient who suffered from traumatic amputation and subsequently received TMR in combination with an osseointegrated implant and structured rehabilitation is presented. Results Using bionic reconstruction, basic hand functions can be restored and bimanual dexterity can expand the range of daily activities. Besides this approach to bionic reconstruction, its advantages and disadvantages are compared to hand transplantation. The limitations and perspectives of modern bionic reconstruction are also discussed. Conclusions Bionic reconstruction is a sophisticated method for restoring extremity function and nowadays can be considered a standard of care for all levels of upper extremity amputations. An interdisciplinary approach and structured rehabilitation are necessary to master prosthetic function to ultimately reintegrate patients into daily life.
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Affiliation(s)
- Martin Aman
- CD Laboratory for the Restoration of Extremity Function, Department of Surgery, Medical University of Vienna, Vienna, Austria.,Division of Biomedical Research, Medical University of Vienna, Vienna, Austria
| | - Christopher Festin
- CD Laboratory for the Restoration of Extremity Function, Department of Surgery, Medical University of Vienna, Vienna, Austria
| | - Matthias E Sporer
- CD Laboratory for the Restoration of Extremity Function, Department of Surgery, Medical University of Vienna, Vienna, Austria.,Division of Biomedical Research, Medical University of Vienna, Vienna, Austria
| | - Clemens Gstoettner
- CD Laboratory for the Restoration of Extremity Function, Department of Surgery, Medical University of Vienna, Vienna, Austria
| | - Cosima Prahm
- CD Laboratory for the Restoration of Extremity Function, Department of Surgery, Medical University of Vienna, Vienna, Austria
| | - Konstantin D Bergmeister
- Division of Biomedical Research, Medical University of Vienna, Vienna, Austria.,Division of Plastic and Reconstructive Surgery, Medical University of Vienna, Vienna, Austria
| | - Oskar C Aszmann
- CD Laboratory for the Restoration of Extremity Function, Department of Surgery, Medical University of Vienna, Vienna, Austria. .,Division of Plastic and Reconstructive Surgery, Medical University of Vienna, Vienna, Austria. .,Christian Doppler Laboratory for Restoration of Extremity Function, Division of Plastic and Reconstructive Surgery, Department of Surgery, Medical University of Vienna, Spitalgasse 23, 1090, Vienna, Austria.
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35
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Kluger DT, Joyner JS, Wendelken SM, Davis TS, George JA, Page DM, Hutchinson DT, Benz HL, Clark GA. Virtual Reality Provides an Effective Platform for Functional Evaluations of Closed-Loop Neuromyoelectric Control. IEEE Trans Neural Syst Rehabil Eng 2019; 27:876-886. [PMID: 30951470 DOI: 10.1109/tnsre.2019.2908817] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Although recent advances in neuroprostheses offer opportunities for improved and intuitive control of advanced motorized and sensorized robotic arms, practical complications associated with such hardware can impede the research necessary for clinical translation. These hurdles potentially can be reduced with virtual reality environments (VREs) with embedded physics engines using virtual models of physical robotic hands. These software suites offer several advantages over physical prototypes, including high repeatability, reduced human error, elimination of many secondary sensory cues, and others. There are limited demonstrations of closed-loop prostheses in the VRE, and it is unclear whether VRE performance translates to the physical world. Here we describe how two trans-radial amputees with neural and intramuscular implants identified objects and performed activities of daily living with closed-loop control of prostheses in the VRE. Our initial evidence further suggests that capabilities with virtual prostheses may be predictors of physical prosthesis performance, demonstrating the utility of VREs for neuroprosthetic research.
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36
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Lancashire HT, Jiang D, Demosthenous A, Donaldson N. An ASIC for Recording and Stimulation in Stacked Microchannel Neural Interfaces. IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS 2019; 13:259-270. [PMID: 30624225 DOI: 10.1109/tbcas.2019.2891284] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
This paper presents an active microchannel neural interface (MNI) using seven stacked application specific integrated circuits (ASICs). The approach provides a solution to the present problem of interconnect density in three-dimensional (3-D) MNIs. The 4 mm2 ASIC is implemented in 0.35 μm high-voltage CMOS technology. Each ASIC is the base for seven microchannels each with three electrodes in a pseudo-tripolar arrangement. Multiplexing allows stimulating or recording from any one of 49 channels, across seven ASICs. Connections to the ASICs are made with a five-line parallel bus. Current controlled biphasic stimulation from 5 to 500 μA has been demonstrated with switching between channels and ASICs. The high-voltage technology gives a compliance of 40 V for stimulation, appropriate for the high impedances within microchannels. High frequency biphasic stimulation, up to 40 kHz is achieved, suitable for reversible high frequency nerve blockades. Recording has been demonstrated with mV level signals; common-mode inputs are differentially distorted and limit the CMRR to 40 dB. The ASIC has been used in vitro in conjunction with an oversize (2 mm diameter) microchannel in phosphate buffered saline, demonstrating attenuation of interference from outside the microchannel and tripolar recording of signals from within the microchannel. By using five-lines for 49 active microchannels the device overcomes limitations when connecting many electrodes in a 3-D miniaturized nerve interface.
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37
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Prahm C, Schulz A, Paaben B, Schoisswohl J, Kaniusas E, Dorffner G, Hammer B, Aszmann O. Counteracting Electrode Shifts in Upper-Limb Prosthesis Control via Transfer Learning. IEEE Trans Neural Syst Rehabil Eng 2019; 27:956-962. [PMID: 30908234 DOI: 10.1109/tnsre.2019.2907200] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Research on machine learning approaches for upper-limb prosthesis control has shown impressive progress. However, translating these results from the lab to patient's everyday lives remains a challenge because advanced control schemes tend to break down under everyday disturbances, such as electrode shifts. Recently, it has been suggested to apply adaptive transfer learning to counteract electrode shifts using as little newly recorded training data as possible. In this paper, we present a novel, simple version of transfer learning and provide the first user study demonstrating the effectiveness of transfer learning to counteract electrode shifts. For this purpose, we introduce the novel Box and Beans test to evaluate prosthesis proficiency and compare user performance with an initial simple pattern recognition system, the system under electrode shifts, and the system after transfer learning. Our results show that transfer learning could significantly alleviate the impact of electrode shifts on user performance in the Box and Beans test.
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38
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Srinivasan S, Vyas K, McAvoy M, Calvaresi P, Khan OF, Langer R, Anderson DG, Herr H. Polyimide Electrode-Based Electrical Stimulation Impedes Early Stage Muscle Graft Regeneration. Front Neurol 2019; 10:252. [PMID: 30967830 PMCID: PMC6438882 DOI: 10.3389/fneur.2019.00252] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2018] [Accepted: 02/25/2019] [Indexed: 01/22/2023] Open
Abstract
Given the increasing use of regenerative free muscle flaps for various reconstructive procedures and neuroprosthetic applications, there is great interest and value in their enhanced regeneration, revascularization, and reinnervation for improved functional recovery. Here, we implant polyimide-based mircroelectrodes on free flap grafts and perform electrical stimulation for 6 weeks in a murine model. Using electrophysiological and histological assessments, we compare outcomes of stimulated grafts with unstimulated control grafts. We find delayed reinnervation and abnormal electromyographic (EMG) signals, with significantly more polyphasia, lower compound muscle action potentials and higher fatigability in stimulated animals. These metrics are suggestive of myopathy in the free flap grafts stimulated with the electrode. Additionally, active inflammatory processes and partial necrosis are observed in grafts stimulated with the implanted electrode. The results suggest that under this treatment protocol, implanted epimysial electrodes and electrical stimulation to deinnervated, and devascularized flaps during the early recovery phase may be detrimental to regeneration. Future work should determine the optimal implantation and stimulation window for accelerating free muscle graft regeneration.
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Affiliation(s)
- Shriya Srinivasan
- Harvard/MIT Health Sciences and Technology, Harvard Medical School, Boston, MA, United States
- Center for Extreme Bionics, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Keval Vyas
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Malia McAvoy
- Harvard/MIT Health Sciences and Technology, Harvard Medical School, Boston, MA, United States
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Peter Calvaresi
- Center for Extreme Bionics, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Omar F. Khan
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, United States
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Robert Langer
- Harvard/MIT Health Sciences and Technology, Harvard Medical School, Boston, MA, United States
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, United States
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Daniel G. Anderson
- Harvard/MIT Health Sciences and Technology, Harvard Medical School, Boston, MA, United States
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, United States
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Hugh Herr
- Center for Extreme Bionics, Massachusetts Institute of Technology, Cambridge, MA, United States
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Kashkoush AI, Gaunt RA, Fisher LE, Bruns TM, Weber DJ. Recording single- and multi-unit neuronal action potentials from the surface of the dorsal root ganglion. Sci Rep 2019; 9:2786. [PMID: 30808921 PMCID: PMC6391375 DOI: 10.1038/s41598-019-38924-w] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2018] [Accepted: 01/03/2019] [Indexed: 12/30/2022] Open
Abstract
The dorsal root ganglia (DRG) contain cell bodies of primary afferent neurons, which are frequently studied by recording extracellularly with penetrating microelectrodes inserted into the DRG. We aimed to isolate single- and multi-unit activity from primary afferents in the lumbar DRG using non-penetrating electrode arrays and to characterize the relationship of that activity with limb position and movement. The left sixth and seventh lumbar DRG (L6-L7) were instrumented with penetrating and non-penetrating electrode arrays to record neural activity during passive hindlimb movement in 7 anesthetized cats. We found that the non-penetrating arrays could record both multi-unit and well-isolated single-unit activity from the surface of the DRG, although with smaller signal to noise ratios (SNRs) compared to penetrating electrodes. Across all recorded units, the median SNR was 1.1 for non-penetrating electrodes and 1.6 for penetrating electrodes. Although the non-penetrating arrays were not anchored to the DRG or surrounding tissues, the spike amplitudes did not change (<1% change from baseline spike amplitude) when the limb was moved passively over a limited range of motion (~20 degrees at the hip). Units of various sensory fiber types were recorded, with 20% of units identified as primary muscle spindles, 37% as secondary muscle spindles, and 24% as cutaneous afferents. Our study suggests that non-penetrating electrode arrays can record modulated single- and multi-unit neural activity of various sensory fiber types from the DRG surface.
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Affiliation(s)
- Ahmed I Kashkoush
- Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Robert A Gaunt
- Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.,Department of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.,Center for the Neural Basis of Cognition, Pittsburgh, Pennsylvania, United States of America
| | - Lee E Fisher
- Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.,Department of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.,Center for the Neural Basis of Cognition, Pittsburgh, Pennsylvania, United States of America
| | - Tim M Bruns
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, United States of America.,Biointerfaces Institute, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Douglas J Weber
- Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America. .,Department of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America. .,Center for the Neural Basis of Cognition, Pittsburgh, Pennsylvania, United States of America.
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40
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Günter C, Delbeke J, Ortiz-Catalan M. Safety of long-term electrical peripheral nerve stimulation: review of the state of the art. J Neuroeng Rehabil 2019; 16:13. [PMID: 30658656 PMCID: PMC6339286 DOI: 10.1186/s12984-018-0474-8] [Citation(s) in RCA: 78] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Accepted: 12/11/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Electrical stimulation of peripheral nerves is used in a variety of applications such as restoring motor function in paralyzed limbs, and more recently, as means to provide intuitive sensory feedback in limb prostheses. However, literature on the safety requirements for stimulation is scarce, particularly for chronic applications. Some aspects of nerve interfacing such as the effect of stimulation parameters on electrochemical processes and charge limitations have been reviewed, but often only for applications in the central nervous system. This review focuses on the safety of electrical stimulation of peripheral nerve in humans. METHODS We analyzed early animal studies evaluating damage thresholds, as well as more recent investigations in humans. Safety requirements were divided into two main categories: passive and active safety. We made the distinction between short-term (< 30 days) and chronic (> 30 days) applications, as well as between electrode preservation (biostability) and body tissue healthy survival (harmlessness). In addition, transferability of experimental results between different tissues and species was considered. RESULTS At present, extraneural electrodes have shown superior long-term stability in comparison to intraneural electrodes. Safety limitations on pulse amplitude (and consequently, charge injection) are dependent on geometrical factors such as electrode placement, size, and proximity to the stimulated fiber. In contrast, other parameters such as stimulation frequency and percentage of effective stimulation time are more generally applicable. Currently, chronic stimulation at frequencies below 30 Hz and percentages of effective stimulation time below 50% is considered safe, but more precise data drawn from large databases are necessary. Unfortunately, stimulation protocols are not systematically documented in the literature, which limits the feasibility of meta-analysis and impedes the generalization of conclusions. We therefore propose a standardized list of parameters necessary to define electrical stimulation and allow future studies to contribute to meta-analyses. CONCLUSION The safety of chronic continuous peripheral nerve stimulation at frequencies higher than 30 Hz has yet to be documented. Precise parameter values leading to stimulation-induced depression of neuronal excitability (SIDNE) and neuronal damage, as well as the transition between the two, are still lacking. At present, neural damage mechanisms through electrical stimulation remain obscure.
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Affiliation(s)
- Clara Günter
- Biomechatronics and Neurorehabilitation Laboratory, Department of Electrical Engineering, Chalmers University of Technology, 41296, Gothenburg, Sweden
| | - Jean Delbeke
- LCEN3, Department of Neurology, Institute of Neuroscience, Ghent University, C. Heymanslaan, 10, 9000, Ghent, Belgium
| | - Max Ortiz-Catalan
- Biomechatronics and Neurorehabilitation Laboratory, Department of Electrical Engineering, Chalmers University of Technology, 41296, Gothenburg, Sweden. .,Integrum AB, Krokslätts Fabriker 50, 43137, Mölndal, Sweden.
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41
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Cramer SD, Lee JS, Butt MT, Paulin J, Stoffregen WC. Neurologic Medical Device Overview for Pathologists. Toxicol Pathol 2019; 47:250-263. [PMID: 30599801 DOI: 10.1177/0192623318816685] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Thorough morphologic evaluations of medical devices placed in or near the nervous system depend on many factors. Pathologists interpreting a neurologic device study must be familiar with the regulatory framework affecting device development, biocompatibility and safety determinants impacting nervous tissue responses, and appropriate study design, including the use of appropriate animal models, group design, device localization, euthanasia time points, tissue examination, sampling and processing, histochemistry and immunohistochemistry, and reporting. This overview contextualizes these features of neurologic medical devices for pathologists engaged in device evaluations.
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Affiliation(s)
| | | | - Mark T Butt
- 1 Tox Path Specialists, LLC, Frederick, Maryland, USA
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42
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Aboseria M, Clemente F, Engels LF, Cipriani C. Discrete Vibro-Tactile Feedback Prevents Object Slippage in Hand Prostheses More Intuitively Than Other Modalities. IEEE Trans Neural Syst Rehabil Eng 2018; 26:1577-1584. [DOI: 10.1109/tnsre.2018.2851617] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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43
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Clites TR, Carty MJ, Ullauri JB, Carney ME, Mooney LM, Duval JF, Srinivasan SS, Herr HM. Proprioception from a neurally controlled lower-extremity prosthesis. Sci Transl Med 2018; 10:10/443/eaap8373. [DOI: 10.1126/scitranslmed.aap8373] [Citation(s) in RCA: 100] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2017] [Revised: 12/09/2017] [Accepted: 05/03/2018] [Indexed: 11/02/2022]
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44
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Janssen EM, Benz HL, Tsai JH, Bridges JFP. Identifying and prioritizing concerns associated with prosthetic devices for use in a benefit-risk assessment: a mixed-methods approach. Expert Rev Med Devices 2018; 15:385-398. [DOI: 10.1080/17434440.2018.1470505] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Affiliation(s)
- Ellen M Janssen
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Johns Hopkins Bloomberg School of Public Health, Johns Hopkins Center of Excellence in Regulatory Science and Innovation, Baltimore, MD, USA
| | - Heather L Benz
- Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, MD, USA
| | - Jui-Hua Tsai
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - John FP Bridges
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Johns Hopkins Bloomberg School of Public Health, Johns Hopkins Center of Excellence in Regulatory Science and Innovation, Baltimore, MD, USA
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45
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Hope J, Vanholsbeeck F, McDaid A. A model of electrical impedance tomography implemented in nerve-cuff for neural-prosthetics control. Physiol Meas 2018; 39:044002. [DOI: 10.1088/1361-6579/aab73a] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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46
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Malesevic N, Markovic D, Kanitz G, Controzzi M, Cipriani C, Antfolk C. Decoding of individual finger movements from surface EMG signals using vector autoregressive hierarchical hidden Markov models (VARHHMM). IEEE Int Conf Rehabil Robot 2018; 2017:1518-1523. [PMID: 28814035 DOI: 10.1109/icorr.2017.8009463] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
In this paper we present a novel method for predicting individual fingers movements from surface electromyography (EMG). The method is intended for real-time dexterous control of a multifunctional prosthetic hand device. The EMG data was recorded using 16 single-ended channels positioned on the forearm of healthy participants. Synchronously with the EMG recording, the subjects performed consecutive finger movements based on the visual cues. Our algorithm could be described in following steps: extracting mean average value (MAV) of the EMG to be used as the feature for classification, piece-wise linear modeling of EMG feature dynamics, implementation of hierarchical hidden Markov models (HHMM) to capture transitions between linear models, and implementation of Bayesian inference as the classifier. The performance of our classifier was evaluated against commonly used real-time classifiers. The results show that the current algorithm setup classifies EMG data similarly to the best among tested classifiers but with equal or less computational complexity.
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47
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Hong KS, Aziz N, Ghafoor U. Motor-commands decoding using peripheral nerve signals: a review. J Neural Eng 2018; 15:031004. [PMID: 29498358 DOI: 10.1088/1741-2552/aab383] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
During the last few decades, substantial scientific and technological efforts have been focused on the development of neuroprostheses. The major emphasis has been on techniques for connecting the human nervous system with a robotic prosthesis via natural-feeling interfaces. The peripheral nerves provide access to highly processed and segregated neural command signals from the brain that can in principle be used to determine user intent and control muscles. If these signals could be used, they might allow near-natural and intuitive control of prosthetic limbs with multiple degrees of freedom. This review summarizes the history of neuroprosthetic interfaces and their ability to record from and stimulate peripheral nerves. We also discuss the types of interfaces available and their applications, the kinds of peripheral nerve signals that are used, and the algorithms used to decode them. Finally, we explore the prospects for future development in this area.
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48
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Ortiz-Catalan M. Restoration of somatosensory perception via electrical stimulation of peripheral nerves. Clin Neurophysiol 2018; 129:845-846. [PMID: 29395847 DOI: 10.1016/j.clinph.2018.01.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2018] [Accepted: 01/10/2018] [Indexed: 01/07/2023]
Affiliation(s)
- Max Ortiz-Catalan
- Chalmers University of Technology, Department of Electrical Engineering, Biomechatronics and Neurorehabilitation Laboratory, Hörsalsvägen 11, SE-41296 Gothenburg, Sweden; Integrum AB, Krokslätts Fabriker 50, SE-43137 Mölndal, Sweden.
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49
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Mols K, Musa S, Nuttin B, Lagae L, Bonin V. In vivo characterization of the electrophysiological and astrocytic responses to a silicon neuroprobe implanted in the mouse neocortex. Sci Rep 2017; 7:15642. [PMID: 29142267 PMCID: PMC5688150 DOI: 10.1038/s41598-017-15121-1] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2016] [Accepted: 10/23/2017] [Indexed: 12/04/2022] Open
Abstract
Silicon neuroprobes hold great potential for studies of large-scale neural activity and brain computer interfaces, but data on brain response in chronic implants is limited. Here we explored with in vivo cellular imaging the response to multisite silicon probes for neural recordings. We tested a chronic implant for mice consisting of a CMOS-compatible silicon probe rigidly implanted in the cortex under a cranial imaging window. Multiunit recordings of cortical neurons with the implant showed no degradation of electrophysiological signals weeks after implantation (mean spike and noise amplitudes of 186 ± 42 µVpp and 16 ± 3.2 µVrms, respectively, n = 5 mice). Two-photon imaging through the cranial window allowed longitudinal monitoring of fluorescently-labeled astrocytes from the second week post implantation for 8 weeks (n = 3 mice). The imaging showed a local increase in astrocyte-related fluorescence that remained stable from the second to the tenth week post implantation. These results demonstrate that, in a standard electrophysiology protocol in mice, rigidly implanted silicon probes can provide good short to medium term chronic recording performance with a limited astrocyte inflammatory response. The precise factors influencing the response to silicon probe implants remain to be elucidated.
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Affiliation(s)
- Katrien Mols
- Neuro-Electronics Research Flanders, Kapeldreef 75, 3001, Leuven, Belgium.,imec, Department of Life Science Technologies, Kapeldreef 75, 3001, Leuven, Belgium.,KU Leuven, Department of Neurosciences, 3000, Leuven, Belgium
| | - Silke Musa
- imec, Department of Life Science Technologies, Kapeldreef 75, 3001, Leuven, Belgium
| | - Bart Nuttin
- KU Leuven, Department of Neurosciences, 3000, Leuven, Belgium
| | - Liesbet Lagae
- imec, Department of Life Science Technologies, Kapeldreef 75, 3001, Leuven, Belgium.,KU Leuven, Department of Physics and Astronomy, 3001, Leuven, Belgium
| | - Vincent Bonin
- Neuro-Electronics Research Flanders, Kapeldreef 75, 3001, Leuven, Belgium. .,Vlaams Instituut voor Biotechnologie (VIB), 3001, Leuven, Belgium. .,KU Leuven, Department of Biology, 3000, Leuven, Belgium.
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50
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Kim HJ, Heo DN, Lee YJ, Lee SJ, Kang JY, Lee SH, Kwon IIK, Do SH. Biological assessments of multifunctional hydrogel-decorated implantable neural cuff electrode for clinical neurology application. Sci Rep 2017; 7:15245. [PMID: 29127334 PMCID: PMC5681553 DOI: 10.1038/s41598-017-15551-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2017] [Accepted: 10/30/2017] [Indexed: 01/11/2023] Open
Abstract
The implantable cuff electrode is an effective neuroprosthetic device in current nerve tissue engineering. However, biocompatibility and stability are still a serious dispute in terms of in vivo function and continuous monitoring. In this regard, assessing the host's biological response to biomaterials is one of the key factors of chronic implantation. In this article, we analyzed the peripheral nerve specific-biological responses to the application of multi-functional hydrogel-coated electrodes. The surface of the cuff electrode was modified using a multifunctional hydrogel composed of PEG hydrogel, cyclosporin A(CsA)-microsphere(MS) and electrodeposited PEDOT:PSS. Through our approach, we have found that the multifunctional hydrogel coatings improve the neural electrode function, such as peak-to-peak amplitude increase. Additionally, the multifunctional hydrogel coated electrodes exhibited improved biocompatibility, such as reduced apoptotic properties and increased axonal myelination. Furthermore, 12 genes (BDNF, Gfra1, IL-6, Sox 10, S100B, P75 NTR , GAP43, MBP, MPZ, NrCAM, NE-FL, CB1) were upregulated at 5 weeks post-implant. Finally, double immunofluorescence revealed the effect of endocannabinoid system on neuroprotective properties and tissue remodeling of peripheral nerves during cuff electrode implantation. These results clearly confirmed that multifunctional hydrogel coatings could improve electrode function and biocompatibility by enhancing neuroprotective properties, which may provide a valuable paradigm for clinical neurology application.
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Affiliation(s)
- Han-Jun Kim
- Konkuk University, Department of Clinical Pathology, College of Veterinary Medicine, Seoul, 05029, Republic of Korea
| | - Dong Nyoung Heo
- Kyung Hee University, Department of Dental Materials, School of Dentistry, Seoul, 02477, Republic of Korea
| | - Yi Jae Lee
- Korea Institute of Science and Technology, Center for BioMicrosystems, Seoul, 02792, Republic of Korea
| | - Sang Jin Lee
- Kyung Hee University, Department of Dental Materials, School of Dentistry, Seoul, 02477, Republic of Korea
| | - Ji Yoon Kang
- Korea Institute of Science and Technology, Center for BioMicrosystems, Seoul, 02792, Republic of Korea
| | - Soo Hyun Lee
- Korea Institute of Science and Technology, Center for BioMicrosystems, Seoul, 02792, Republic of Korea.
| | - I I Keun Kwon
- Kyung Hee University, Department of Dental Materials, School of Dentistry, Seoul, 02477, Republic of Korea.
| | - Sun Hee Do
- Konkuk University, Department of Clinical Pathology, College of Veterinary Medicine, Seoul, 05029, Republic of Korea.
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