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Labus KM, Wolynski J, Easley J, Stewart HL, Ilic M, Notaros B, Zagrocki T, Puttlitz CM, McGilvray KC. Employing direct electromagnetic coupling to assess acute fracture healing: An ovine model assessment. Injury 2023; 54:111080. [PMID: 37802738 PMCID: PMC10843464 DOI: 10.1016/j.injury.2023.111080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 09/13/2023] [Accepted: 09/26/2023] [Indexed: 10/08/2023]
Abstract
OBJECTIVES This study explored the efficacy of collecting temporal fracture site compliance data via an advanced direct electromagnetic coupling (DEC) system equipped with a Vivaldi-type antenna, novel calibration technique, and multi-antenna setup (termed maDEC) as an approach to monitor acute fracture healing progress in a translational large animal model. The overarching goal of this approach was to provide insights into the acute healing dynamics, offering a promising avenue for optimizing fracture management strategies. METHODS A sample of twelve sheep, subjected to ostectomies and intramedullary nail fixations, was divided into two groups, simulating normal and impaired healing scenarios. Sequential maDEC compliance or stiffness measurements and radiographs were taken from the surgery until euthanasia at four or eight weeks and were subsequently compared with post-sacrifice biomechanical, micro-CT, and histological findings. RESULTS The results showed that the maDEC system offered straightforward quantification of fracture site compliance via a multiantenna array. Notably, the rate of change in the maDEC-measured bending stiffness significantly varied between normal and impaired healing groups during both the 4-week (p = 0.04) and 8-week (p = 0.02) periods. In contrast, radiographically derived mRUST healing measurements displayed no significant differences between the groups (p = 0.46). Moreover, the cumulative normalized stiffness maDEC data significantly correlated with post-sacrifice mechanical strength (r2 = 0.80, p < 0.001), micro-CT measurements of bone volume fraction (r2 = 0.60, p = 0.003), and density (r2 = 0.60, p = 0.003), and histomorphometric measurements of new bone area fraction (r2 = 0.61, p = 0.003) and new bone area (r2 = 0.60, p < 0.001). CONCLUSIONS These data indicate that the enhanced maDEC system provides a non-invasive, accurate method to monitor fracture healing during the acute healing phase, showing distinct stiffness profiles between normal and impaired healing groups and offering critical insights into the healing process's progress and efficiency.
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Affiliation(s)
- Kevin M Labus
- Orthopaedic Bioengineering Research Laboratory, Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA
| | - Jakob Wolynski
- Orthopaedic Bioengineering Research Laboratory, Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA
| | - Jeremiah Easley
- Preclinical Surgical Research Laboratory, Department of Clinical Sciences, Colorado State University, Fort Collins, Colorado, USA
| | - Holly L Stewart
- Preclinical Surgical Research Laboratory, Department of Clinical Sciences, Colorado State University, Fort Collins, Colorado, USA
| | - Milan Ilic
- University of Belgrade, School of Electrical Engineering, Belgrade, Serbia
| | - Branislav Notaros
- Electromagnetic Laboratory, Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, Colorado, USA
| | - Taylor Zagrocki
- Orthopaedic Bioengineering Research Laboratory, Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA
| | - Christian M Puttlitz
- Orthopaedic Bioengineering Research Laboratory, Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA
| | - Kirk C McGilvray
- Orthopaedic Bioengineering Research Laboratory, Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA.
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He D, Cui Y, Ming F, Wu W. Advancements in Passive Wireless Sensors, Materials, Devices, and Applications. SENSORS (BASEL, SWITZERLAND) 2023; 23:8200. [PMID: 37837030 PMCID: PMC10575307 DOI: 10.3390/s23198200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 09/18/2023] [Accepted: 09/22/2023] [Indexed: 10/15/2023]
Abstract
In recent years, passive wireless sensors have been studied for various infrastructure sectors, making them a research and development focus. While substantial evidence already supports their viability, further effort is needed to understand their dependability and applicability. As a result, issues related to the theory and implementation of wireless sensors still need to be resolved. This paper aims to review and summarize the progress of the different materials used in different passive sensors, the current status of the passive wireless sensor readout devices, and the latest peripheral devices. It will also cover other related aspects such as the system equipment of passive wireless sensors and the nanogenerators for the energy harvesting for self-powered sensors for applications in contemporary life scenarios. At the same time, the challenges for future developments and applications of passive wireless are discussed.
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Affiliation(s)
- Denghui He
- School of Information Science and Engineering, Dalian Polytechnic University, Dalian 116034, China; (D.H.); (F.M.)
| | - Yuanhui Cui
- School of Information Science and Engineering, Dalian Polytechnic University, Dalian 116034, China; (D.H.); (F.M.)
| | - Fangchao Ming
- School of Information Science and Engineering, Dalian Polytechnic University, Dalian 116034, China; (D.H.); (F.M.)
| | - Weiping Wu
- Laboratory of Thin Film Optics, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, 390 Qinghe Road, Jiading District, Shanghai 201800, China
- Key Laboratory of Materials for High Power Laser, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, 390 Qinghe Road, Jiading District, Shanghai 201800, China
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Veletić M, Apu EH, Simić M, Bergsland J, Balasingham I, Contag CH, Ashammakhi N. Implants with Sensing Capabilities. Chem Rev 2022; 122:16329-16363. [PMID: 35981266 DOI: 10.1021/acs.chemrev.2c00005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Because of the aging human population and increased numbers of surgical procedures being performed, there is a growing number of biomedical devices being implanted each year. Although the benefits of implants are significant, there are risks to having foreign materials in the body that may lead to complications that may remain undetectable until a time at which the damage done becomes irreversible. To address this challenge, advances in implantable sensors may enable early detection of even minor changes in the implants or the surrounding tissues and provide early cues for intervention. Therefore, integrating sensors with implants will enable real-time monitoring and lead to improvements in implant function. Sensor integration has been mostly applied to cardiovascular, neural, and orthopedic implants, and advances in combined implant-sensor devices have been significant, yet there are needs still to be addressed. Sensor-integrating implants are still in their infancy; however, some have already made it to the clinic. With an interdisciplinary approach, these sensor-integrating devices will become more efficient, providing clear paths to clinical translation in the future.
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Affiliation(s)
- Mladen Veletić
- Department of Electronic Systems, Norwegian University of Science and Technology, 7491 Trondheim, Norway.,The Intervention Centre, Technology and Innovation Clinic, Oslo University Hospital, 0372 Oslo, Norway
| | - Ehsanul Hoque Apu
- Institute for Quantitative Health Science and Engineering (IQ) and Department of Biomedical Engineering (BME), Michigan State University, East Lansing, Michigan 48824, United States.,Division of Hematology and Oncology, Department of Internal Medicine, Michigan Medicine, University of Michigan, Ann Arbor, Michigan 48105, United States
| | - Mitar Simić
- Faculty of Electrical Engineering, University of Banja Luka, 78000 Banja Luka, Bosnia and Herzegovina
| | - Jacob Bergsland
- The Intervention Centre, Technology and Innovation Clinic, Oslo University Hospital, 0372 Oslo, Norway
| | - Ilangko Balasingham
- Department of Electronic Systems, Norwegian University of Science and Technology, 7491 Trondheim, Norway.,The Intervention Centre, Technology and Innovation Clinic, Oslo University Hospital, 0372 Oslo, Norway
| | - Christopher H Contag
- Institute for Quantitative Health Science and Engineering (IQ) and Department of Biomedical Engineering (BME), Michigan State University, East Lansing, Michigan 48824, United States
| | - Nureddin Ashammakhi
- Institute for Quantitative Health Science and Engineering (IQ) and Department of Biomedical Engineering (BME), Michigan State University, East Lansing, Michigan 48824, United States.,Department of Bioengineering, University of California, Los Angeles, California 90095, United States
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Murzin D, Mapps DJ, Levada K, Belyaev V, Omelyanchik A, Panina L, Rodionova V. Ultrasensitive Magnetic Field Sensors for Biomedical Applications. SENSORS (BASEL, SWITZERLAND) 2020; 20:E1569. [PMID: 32168981 PMCID: PMC7146409 DOI: 10.3390/s20061569] [Citation(s) in RCA: 61] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Revised: 03/02/2020] [Accepted: 03/06/2020] [Indexed: 12/27/2022]
Abstract
The development of magnetic field sensors for biomedical applications primarily focuses on equivalent magnetic noise reduction or overall design improvement in order to make them smaller and cheaper while keeping the required values of a limit of detection. One of the cutting-edge topics today is the use of magnetic field sensors for applications such as magnetocardiography, magnetotomography, magnetomyography, magnetoneurography, or their application in point-of-care devices. This introductory review focuses on modern magnetic field sensors suitable for biomedicine applications from a physical point of view and provides an overview of recent studies in this field. Types of magnetic field sensors include direct current superconducting quantum interference devices, search coil, fluxgate, magnetoelectric, giant magneto-impedance, anisotropic/giant/tunneling magnetoresistance, optically pumped, cavity optomechanical, Hall effect, magnetoelastic, spin wave interferometry, and those based on the behavior of nitrogen-vacancy centers in the atomic lattice of diamond.
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Affiliation(s)
- Dmitry Murzin
- Institute of Physics, Mathematics and Information Technology, Immanuel Kant Baltic Federal University, 236041 Kaliningrad, Russia; (K.L.); (V.B.); (A.O.); (L.P.); (V.R.)
| | - Desmond J. Mapps
- Faculty of Science and Engineering, University of Plymouth, Plymouth PL4 8AA, UK;
| | - Kateryna Levada
- Institute of Physics, Mathematics and Information Technology, Immanuel Kant Baltic Federal University, 236041 Kaliningrad, Russia; (K.L.); (V.B.); (A.O.); (L.P.); (V.R.)
| | - Victor Belyaev
- Institute of Physics, Mathematics and Information Technology, Immanuel Kant Baltic Federal University, 236041 Kaliningrad, Russia; (K.L.); (V.B.); (A.O.); (L.P.); (V.R.)
| | - Alexander Omelyanchik
- Institute of Physics, Mathematics and Information Technology, Immanuel Kant Baltic Federal University, 236041 Kaliningrad, Russia; (K.L.); (V.B.); (A.O.); (L.P.); (V.R.)
| | - Larissa Panina
- Institute of Physics, Mathematics and Information Technology, Immanuel Kant Baltic Federal University, 236041 Kaliningrad, Russia; (K.L.); (V.B.); (A.O.); (L.P.); (V.R.)
- National University of Science and Technology, MISiS, 119049 Moscow, Russia
| | - Valeria Rodionova
- Institute of Physics, Mathematics and Information Technology, Immanuel Kant Baltic Federal University, 236041 Kaliningrad, Russia; (K.L.); (V.B.); (A.O.); (L.P.); (V.R.)
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Ren L, Yu K, Tan Y. Applications and Advances of Magnetoelastic Sensors in Biomedical Engineering: A Review. MATERIALS (BASEL, SWITZERLAND) 2019; 12:E1135. [PMID: 30959981 PMCID: PMC6479581 DOI: 10.3390/ma12071135] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Revised: 03/30/2019] [Accepted: 04/05/2019] [Indexed: 11/25/2022]
Abstract
We present a comprehensive investigation into magnetoelastic sensors (MES) technology applied to biomedical engineering. This includes the working principles, detection methods, and application fields of MES technology. MES are made of amorphous metallic glass ribbons and are wireless and passive, meaning that it is convenient to monitor or measure the parameters related to biomedical engineering. MES are based on the inverse magnetoelastic (Villari) effect. When MES are subjected to mechanical stress, their magnetic susceptibility will change accordingly. And the susceptibility of MES is directly related to their magnetic permeability. The varying permeability can positively reflect the applied stress. The various detection methods that have been developed for different field applications include measurement of force, stress, and strain, monitoring of various chemical indexes, and consideration of different biomedical parameters such as the degradation rate and force conditions of artificial bone, as well as various physiological indexes including ammonia level, glucose concentration, bacteria growth, and blood coagulation.
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Affiliation(s)
- Limin Ren
- School of Mechanical Engineering, Northeast Electric Power University, Jilin 132012, China.
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