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Hong R, Li B, Bao Y, Liu L, Jin L. Therapeutic robots for post-stroke rehabilitation. Med Rev (2021) 2024; 4:55-67. [PMID: 38515779 PMCID: PMC10954296 DOI: 10.1515/mr-2023-0054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 01/25/2024] [Indexed: 03/23/2024]
Abstract
Stroke is a prevalent, severe, and disabling health-care issue on a global scale, inevitably leading to motor and cognitive deficits. It has become one of the most significant challenges in China, resulting in substantial social and economic burdens. In addition to the medication and surgical interventions during the acute phase, rehabilitation treatment plays a crucial role in stroke care. Robotic technology takes distinct advantages over traditional physical therapy, occupational therapy, and speech therapy, and is increasingly gaining popularity in post-stroke rehabilitation. The use of rehabilitation robots not only alleviates the workload of healthcare professionals but also enhances the prognosis for specific stroke patients. This review presents a concise overview of the application of therapeutic robots in post-stroke rehabilitation, with particular emphasis on the recovery of motor and cognitive function.
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Affiliation(s)
- Ronghua Hong
- Department of Neurology and Neurological Rehabilitation, Shanghai Disabled Persons’ Federation Key Laboratory of Intelligent Rehabilitation Assistive Devices and Technologies, Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China
- Neurotoxin Research Center, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Bingyu Li
- Department of Neurology and Neurological Rehabilitation, Shanghai Disabled Persons’ Federation Key Laboratory of Intelligent Rehabilitation Assistive Devices and Technologies, Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China
| | - Yunjun Bao
- Department of Neurology and Neurological Rehabilitation, Shanghai Disabled Persons’ Federation Key Laboratory of Intelligent Rehabilitation Assistive Devices and Technologies, Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China
| | - Lingyu Liu
- Department of Neurology and Neurological Rehabilitation, Shanghai Disabled Persons’ Federation Key Laboratory of Intelligent Rehabilitation Assistive Devices and Technologies, Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China
| | - Lingjing Jin
- Department of Neurology and Neurological Rehabilitation, Shanghai Disabled Persons’ Federation Key Laboratory of Intelligent Rehabilitation Assistive Devices and Technologies, Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China
- Neurotoxin Research Center, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
- Collaborative Innovation Center for Brain Science, Tongji University, Shanghai, China
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Ahn SY, Bok SK, Lee JY, Ryoo HW, Lee HY, Park HJ, Oh HM, Kim TW. Benefits of Robot-Assisted Upper-Limb Rehabilitation from the Subacute Stage after a Stroke of Varying Severity: A Multicenter Randomized Controlled Trial. J Clin Med 2024; 13:808. [PMID: 38337500 PMCID: PMC10856364 DOI: 10.3390/jcm13030808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 01/25/2024] [Accepted: 01/26/2024] [Indexed: 02/12/2024] Open
Abstract
BACKGROUND The aim of this study was to compare the clinical effectiveness of robot-assisted therapy with that of conventional occupational therapy according to the onset and severity of stroke. METHODS In this multicenter randomized controlled trial, stroke patients were randomized (1:1) to receive robot-assisted therapy or conventional occupational therapy. The robot-assisted training group received 30 min of robot-assisted therapy twice and 30 min of conventional occupational therapy daily, while the conventional therapy group received 90 min of occupational therapy. Therapy was conducted 5 days/week for 4 weeks. The primary outcome was the Wolf Motor Function Test (WMFT) score after 4 and 8 weeks of therapy. RESULTS Overall, 113 and 115 patients received robot-assisted and conventional therapy, respectively. The WMFT score after robot-assisted therapy was not significantly better than that after conventional therapy, but there were significant improvements in the Motricity Index (trunk) and the Fugl-Meyer Assessment. After robot-assisted therapy, wrist strength significantly improved in the subacute or moderate-severity group of stroke patients. CONCLUSIONS Robot-assisted therapy improved the upper-limb functions and activities of daily living (ADL) performance as much as conventional occupational therapy. In particular, it showed signs of more therapeutic effectiveness in the subacute stage or moderate-severity group.
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Affiliation(s)
- So Young Ahn
- Department of Rehabilitation Medicine, Chungnam National University Hospital, Daejeon 35015, Republic of Korea
- Department of Rehabilitation Medicine, College of Medicine, Chungnam National University Hospital, Daejeon 35015, Republic of Korea
| | - Soo-Kyung Bok
- Department of Rehabilitation Medicine, Chungnam National University Hospital, Daejeon 35015, Republic of Korea
- Department of Rehabilitation Medicine, College of Medicine, Chungnam National University Hospital, Daejeon 35015, Republic of Korea
| | - Ji Young Lee
- Department of Rehabilitation Medicine, Chungnam National University Hospital, Daejeon 35015, Republic of Korea
| | - Hyeon Woo Ryoo
- Department of Rehabilitation Medicine, Chungnam National University Hospital, Daejeon 35015, Republic of Korea
| | - Hoo Young Lee
- Department of Brain Injury Rehabilitation, National Traffic Injury Rehabilitation Hospital, Yangpyeong 12564, Republic of Korea (H.J.P.); (T.-W.K.)
- Department of Rehabilitation Medicine, Seoul National University Hospital, Seoul 03080, Republic of Korea
| | - Hye Jung Park
- Department of Brain Injury Rehabilitation, National Traffic Injury Rehabilitation Hospital, Yangpyeong 12564, Republic of Korea (H.J.P.); (T.-W.K.)
- Department of Rehabilitation Medicine, Seoul National University Hospital, Seoul 03080, Republic of Korea
| | - Hyun Mi Oh
- Department of Brain Injury Rehabilitation, National Traffic Injury Rehabilitation Hospital, Yangpyeong 12564, Republic of Korea (H.J.P.); (T.-W.K.)
- Department of Rehabilitation Medicine, Seoul National University Hospital, Seoul 03080, Republic of Korea
| | - Tae-Woo Kim
- Department of Brain Injury Rehabilitation, National Traffic Injury Rehabilitation Hospital, Yangpyeong 12564, Republic of Korea (H.J.P.); (T.-W.K.)
- Department of Rehabilitation Medicine, Seoul National University Hospital, Seoul 03080, Republic of Korea
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He YZ, Huang ZM, Deng HY, Huang J, Wu JH, Wu JS. Feasibility, safety, and efficacy of task-oriented mirrored robotic training on upper-limb functions and activities of daily living in subacute poststroke patients: a pilot study. Eur J Phys Rehabil Med 2023; 59:660-668. [PMID: 37869761 PMCID: PMC10795073 DOI: 10.23736/s1973-9087.23.08018-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Revised: 09/04/2023] [Accepted: 10/09/2023] [Indexed: 10/24/2023]
Abstract
BACKGROUND Robotic training with high repetitions facilitates upper-limb movements but provides fewer benefits for activities of daily living. Integrating activities of daily living training tasks and mirror therapy into a robot may enhance the functional gains of robotic training. AIM The aim of this study was to investigate the feasibility, safety, and efficacy of the task-oriented mirrored upper-limb robotic training on the upper-limb functions and activities of daily living of subacute poststroke patients. DESIGN This study is a single-blinded, active-controlled pilot study. SETTING The study was carried out at rehabilitation outpatient clinic and ward. POPULATION A total of 32 subacute poststroke patients were enrolled in the study. METHODS The enrolled patients were allocated into two groups in a ratio of 1:1. The experimental group received 4 weeks of task-oriented mirrored upper-limb robotic training, consisting of five sessions of 30-minute duration, along with 30 minutes of conventional training. The control group only received 60 minutes of conventional training. The outcome measures were the Fugl-Meyer Assessment Scale for Upper Extremity, Modified Barthel Index, Stroke Self-Efficacy Scale, System Usability Scale, and Quebec User Evaluation with Assistive Technology. RESULTS All patients completed the full training sessions without significant adverse events related to robotic training. The task-oriented mirrored upper-limb robotic training led to increased Fugl-Meyer Assessment Scale for Upper Extremity (difference: 10.38 points, P<0.001) and Modified Barthel Index (difference: 18.38 points, P<0.001) scores, both of which exceeded the minimal clinically important difference. Intergroup analysis showed significantly higher improvements in the Fugl-Meyer Assessment Scale for Upper Extremity total scores, shoulder, wrist, and hand scores; and Modified Barthel Index scores in the experimental group than in conventional training (all P<0.05). Both groups showed significant improvements in Stroke Self-Efficacy Scale scores after the intervention (both P<0.001), but without a statistically significant intergroup difference (P>0.05). Participants in the experimental group scored an average usability perception score of 74.74 (good) and an average satisfaction score of four or more out of five. CONCLUSIONS In general, task-oriented mirrored upper-limb robotic training appears feasible and safe for subacute poststroke rehabilitation, facilitating the recovery of upper-limb functions and activities of daily living. CLINICAL REHABILITATION IMPACT Task-oriented mirrored upper-limb robotic training shows promise for future clinical rehabilitation and clinical trials involving subacute poststroke patients.
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Affiliation(s)
- You-Ze He
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
- Fujian Collaborative Innovation Center for Rehabilitation Technology, Fuzhou, China
| | - Zhen-Ming Huang
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Hai-Yin Deng
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Jia Huang
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
- Fujian Collaborative Innovation Center for Rehabilitation Technology, Fuzhou, China
| | - Jian-Huang Wu
- Shenzhen Wisemen Medical Technologies Co., Ltd, Shenzhen, China
| | - Jing-Song Wu
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China -
- Fujian Collaborative Innovation Center for Rehabilitation Technology, Fuzhou, China
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Carrillo C, Tilley D, Horn K, Gonzalez M, Coffman C, Hilton C, Mani K. Effectiveness of Robotics in Stroke Rehabilitation to Accelerate Upper Extremity Function: Systematic Review. Occup Ther Int 2023; 2023:7991765. [PMID: 37927581 PMCID: PMC10624545 DOI: 10.1155/2023/7991765] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 06/24/2023] [Accepted: 10/10/2023] [Indexed: 11/07/2023] Open
Abstract
Objective To examine the effectiveness of robot-assisted therapy (RAT) combined with conventional therapy (CT) compared to CT alone in accelerating upper extremity (UE) recovery poststroke. Data Sources. We searched five databases: Ovid, MEDLINE, CINAHL, PubMed, and Scopus Study Selection. Studies were selected for this review using the following inclusion criteria: randomized controlled trials of adults, RAT combined with CT compared to CT, and Fugl-Meyer Assessment (FMA) as an outcome measure. Studies focused on children with neurological impairments, and studies that used RAT to facilitate lower extremity recovery and/or improve gait were excluded. Data Extraction. The initial search yielded 3,019 citations of articles published between January 2011 and May 2021. Fourteen articles met the inclusion criteria. Randomization, allocation sequence concealment, blinding, and other biases were assessed. Data Synthesis. Current evidence suggests that the use of RAT along with CT may accelerate upper extremity recovery, measured by FMA, in the beginning of rehabilitation. However, the progress fades over time. More empirical research is needed to validate this observation. Also, the findings related to cost-benefit analyses of RAT are inconclusive. Conclusions It is unclear whether RAT accelerates UE recovery poststroke when used in conjunction with conventional therapy. Given the capital and maintenance costs involved in developing and delivering RAT, more controlled studies examining the effectiveness and cost-benefit analysis of RAT are needed before it can be used widely. This trial is registered with CRD42021270824.
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Affiliation(s)
- Cora Carrillo
- University of Texas Medical Branch, Galveston, Texas, USA
| | - Devyn Tilley
- University of Texas Medical Branch, Galveston, Texas, USA
| | - Kaitlyn Horn
- University of Texas Medical Branch, Galveston, Texas, USA
| | | | | | - Claudia Hilton
- University of Texas Medical Branch, Galveston, Texas, USA
| | - Karthik Mani
- University of Texas Medical Branch, Galveston, Texas, USA
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Gnasso R, Palermi S, Picone A, Tarantino D, Fusco G, Messina MM, Sirico F. Robotic-Assisted Rehabilitation for Post-Stroke Shoulder Pain: A Systematic Review. Sensors (Basel) 2023; 23:8239. [PMID: 37837068 PMCID: PMC10575254 DOI: 10.3390/s23198239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 09/27/2023] [Accepted: 10/02/2023] [Indexed: 10/15/2023]
Abstract
Post-stroke shoulder pain (PSSP) is a debilitating consequence of hemiplegia, often hindering rehabilitation efforts and further limiting motor recovery. With the advent of robotic-assisted therapies in neurorehabilitation, there is potential for innovative interventions for PSSP. This study systematically reviewed the current literature to determine the effectiveness of robotic-assisted rehabilitation in addressing PSSP in stroke patients. A comprehensive search of databases was conducted, targeting articles published up to August 2023. Studies were included if they investigated the impact of robotic-assisted rehabilitation on PSSP. The outcome of interest was pain reduction. The risk of bias was assessed using the Cochrane database. Of the 187 initially identified articles, 3 studies met the inclusion criteria, encompassing 174 patients. The reviewed studies indicated a potential benefit of robotic-assisted rehabilitation in reducing PSSP, with some studies also noting improvements in the range of motion and overall motor function. However, the results varied across studies, with some showing more significant benefits than others, because these use different protocols and robotic equipment.
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Affiliation(s)
| | - Stefano Palermi
- Public Health Department, University of Napoli “Federico II”, Via Pansini 5, 80131 Naples, Italy; (R.G.); (A.P.); (D.T.); (G.F.); (M.M.M.); (F.S.)
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Yang X, Shi X, Xue X, Deng Z. Efficacy of Robot-Assisted Training on Rehabilitation of Upper Limb Function in Patients With Stroke: A Systematic Review and Meta-analysis. Arch Phys Med Rehabil 2023; 104:1498-1513. [PMID: 36868494 DOI: 10.1016/j.apmr.2023.02.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 01/28/2023] [Accepted: 02/03/2023] [Indexed: 03/05/2023]
Abstract
OBJECTIVE To systematically evaluate the effect of robot-assisted training (RAT) on upper limb function recovery in patients with stroke, providing the evidence-based medical basis for the clinical application of RAT. DATA SOURCES We searched online electronic databases up to June 2022, including PubMed, The Cochrane Library, Scopus, Web of Science, EMBASE, WanFang Data, CNKI, and VIP full-text databases. STUDY SELECTION Randomized controlled trials of the effect of RAT on upper extremity functional recovery in patients with stroke. DATA EXTRACTION The Cochrane Collaboration Tool for Assessing the Risk of Bias was used to assess study quality and risk of bias. DATA SYNTHESIS Fourteen randomized controlled trials involving 1275 patients were included for review. Compared with the control group, RAT significantly improved upper limb motor function and daily living ability. The overall differences were statistically significant, Fugl-Meyer Assessment for the Upper Extremity (FMA-UE; standard mean difference=0.69; 95% confidence interval, 0.34, 1.05; P=.0001), modified Barthel Index (standard mean difference=0.95; 95% confidence interval, 0.75, 1.15; P<.00001), whereas the differences in modified Ashworth Scale, FIM, and Wolf Motor Function Test scores were not statistically significant. SUBGROUP ANALYSIS Compared with the control group, the differences between FMA-UE and modified Barthel Index at 4 and 12 weeks of RAT, there were statistically significant, the differences of FMA-UE and modified Ashworth Scale in patients with stroke in the acute and chronic phases were statistically significant. CONCLUSION The present study showed that RAT can significantly enhance the upper limb motor function and activities of daily life in patients with stroke undergoing upper limb rehabilitation.
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Affiliation(s)
- Xinwei Yang
- School of Sports Medicine and Health, Chengdu Sport University, Chengdu, China
| | - Xiubo Shi
- Hospital of Chengdu Office of People's Government of Tibetan Autonomous Region, Chengdu, China
| | - Xiali Xue
- Institute of Sports Medicine and Health, Chengdu Sport University, Chengdu, China.
| | - Zhongyi Deng
- Department of Rehabilitation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
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Bandini V, Carpinella I, Marzegan A, Jonsdottir J, Frigo CA, Avanzino L, Pelosin E, Ferrarin M, Lencioni T. Surface-Electromyography-Based Co-Contraction Index for Monitoring Upper Limb Improvements in Post-Stroke Rehabilitation: A Pilot Randomized Controlled Trial Secondary Analysis. Sensors (Basel) 2023; 23:7320. [PMID: 37687775 PMCID: PMC10490112 DOI: 10.3390/s23177320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 07/28/2023] [Accepted: 08/04/2023] [Indexed: 09/10/2023]
Abstract
Persons post-stroke experience excessive muscle co-contraction, and consequently the arm functions are compromised during the activities of daily living. Therefore, identifying instrumental outcome measures able to detect the motor strategy adopted after a stroke is a primary clinical goal. Accordingly, this study aims at verifying whether the surface electromyography (sEMG)-based co-contraction index (CCI) could be a new clinically feasible approach for assessing and monitoring patients' motor performance. Thirty-four persons post-stroke underwent clinical assessment and upper extremity kinematic analysis, including sEMG recordings. The participants were randomized into two treatment groups (robot and usual care groups). Ten healthy subjects provided a normative reference (NR). Frost's CCI was used to quantify the muscle co-contraction of three different agonist/antagonist muscle pairs during an object-placing task. Persons post-stroke showed excessive muscle co-contraction (mean (95% CI): anterior/posterior deltoid CCI: 0.38 (0.34-0.41) p = 0.03; triceps/biceps CCI: 0.46 (0.41-0.50) p = 0.01) compared to NR (anterior/posterior deltoid CCI: 0.29 (0.21-0.36); triceps/biceps CCI: 0.34 (0.30-0.39)). After robot therapy, persons post-stroke exhibited a greater improvement (i.e., reduced CCI) in proximal motor control (anterior/posterior deltoid change score of CCI: -0.02 (-0.07-0.02) p = 0.05) compared to usual care therapy (0.04 (0.00-0.09)). Finally, the findings of the present study indicate that the sEMG-based CCI could be a valuable tool in clinical practice.
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Affiliation(s)
- Virginia Bandini
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Via Capecelatro 66, 20148 Milan, Italy; (V.B.); (I.C.); (A.M.); (J.J.); (T.L.)
| | - Ilaria Carpinella
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Via Capecelatro 66, 20148 Milan, Italy; (V.B.); (I.C.); (A.M.); (J.J.); (T.L.)
| | - Alberto Marzegan
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Via Capecelatro 66, 20148 Milan, Italy; (V.B.); (I.C.); (A.M.); (J.J.); (T.L.)
| | - Johanna Jonsdottir
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Via Capecelatro 66, 20148 Milan, Italy; (V.B.); (I.C.); (A.M.); (J.J.); (T.L.)
| | - Carlo Albino Frigo
- Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milan, Italy;
| | - Laura Avanzino
- Department of Experimental Medicine, Section of Human Physiology, University of Genoa, 16132 Genoa, Italy;
- IRCCS Ospedale Policlinico San Martino, IRCCS, 16132 Genoa, Italy;
| | - Elisa Pelosin
- IRCCS Ospedale Policlinico San Martino, IRCCS, 16132 Genoa, Italy;
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal Child Health, University of Genoa, 16132 Genova, Italy
| | - Maurizio Ferrarin
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Via Capecelatro 66, 20148 Milan, Italy; (V.B.); (I.C.); (A.M.); (J.J.); (T.L.)
| | - Tiziana Lencioni
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Via Capecelatro 66, 20148 Milan, Italy; (V.B.); (I.C.); (A.M.); (J.J.); (T.L.)
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Lopez-Castellanos JM, Ramon JL, Pomares J, Garcia GJ, Ubeda A. Multisensory Evaluation of Muscle Activity and Human Manipulability during Upper Limb Motor Tasks. Biosensors (Basel) 2023; 13:697. [PMID: 37504097 PMCID: PMC10377320 DOI: 10.3390/bios13070697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 06/22/2023] [Accepted: 06/27/2023] [Indexed: 07/29/2023]
Abstract
In this work, we evaluate the relationship between human manipulability indices obtained from motion sensing cameras and a variety of muscular factors extracted from surface electromyography (sEMG) signals from the upper limb during specific movements that include the shoulder, elbow and wrist joints. The results show specific links between upper limb movements and manipulability, revealing that extreme poses show less manipulability, i.e., when the arms are fully extended or fully flexed. However, there is not a clear correlation between the sEMG signals' average activity and manipulability factors, which suggests that muscular activity is, at least, only indirectly related to human pose singularities. A possible means to infer these correlations, if any, would be the use of advanced deep learning techniques. We also analyze a set of EMG metrics that give insights into how muscular effort is distributed during the exercises. This set of metrics could be used to obtain good indicators for the quantitative evaluation of sequences of movements according to the milestones of a rehabilitation therapy or to plan more ergonomic and bearable movement phases in a working task.
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Affiliation(s)
- Jose M Lopez-Castellanos
- Human Robotics Group, University of Alicante, 03690 San Vicente del Raspeig, Spain
- Department of Systems Engineering, National Autonomous University of Honduras, Tegucigalpa 11101, Honduras
| | - Jose L Ramon
- Human Robotics Group, University of Alicante, 03690 San Vicente del Raspeig, Spain
| | - Jorge Pomares
- Human Robotics Group, University of Alicante, 03690 San Vicente del Raspeig, Spain
| | - Gabriel J Garcia
- Human Robotics Group, University of Alicante, 03690 San Vicente del Raspeig, Spain
| | - Andres Ubeda
- Human Robotics Group, University of Alicante, 03690 San Vicente del Raspeig, Spain
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Zhu Y, Wang C, Li J, Zeng L, Zhang P. Effect of different modalities of artificial intelligence rehabilitation techniques on patients with upper limb dysfunction after stroke-A network meta-analysis of randomized controlled trials. Front Neurol 2023; 14:1125172. [PMID: 37139055 PMCID: PMC10150552 DOI: 10.3389/fneur.2023.1125172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 03/21/2023] [Indexed: 05/05/2023] Open
Abstract
Background This study aimed to observe the effects of six different types of AI rehabilitation techniques (RR, IR, RT, RT + VR, VR and BCI) on upper limb shoulder-elbow and wrist motor function, overall upper limb function (grip, grasp, pinch and gross motor) and daily living ability in subjects with stroke. Direct and indirect comparisons were drawn to conclude which AI rehabilitation techniques were most effective in improving the above functions. Methods From establishment to 5 September 2022, we systematically searched PubMed, EMBASE, the Cochrane Library, Web of Science, CNKI, VIP and Wanfang. Only randomized controlled trials (RCTs) that met the inclusion criteria were included. The risk of bias in studies was evaluated using the Cochrane Collaborative Risk of Bias Assessment Tool. A cumulative ranking analysis by SUCRA was performed to compare the effectiveness of different AI rehabilitation techniques for patients with stroke and upper limb dysfunction. Results We included 101 publications involving 4,702 subjects. According to the results of the SUCRA curves, RT + VR (SUCRA = 84.8%, 74.1%, 99.6%) was most effective in improving FMA-UE-Distal, FMA-UE-Proximal and ARAT function for subjects with upper limb dysfunction and stroke, respectively. IR (SUCRA = 70.5%) ranked highest in improving FMA-UE-Total with upper limb motor function amongst subjects with stroke. The BCI (SUCRA = 73.6%) also had the most significant advantage in improving their MBI daily living ability. Conclusions The network meta-analysis (NMA) results and SUCRA rankings suggest RT + VR appears to have a greater advantage compared with other interventions in improving upper limb motor function amongst subjects with stroke in FMA-UE-Proximal and FMA-UE-Distal and ARAT. Similarly, IR had shown the most significant advantage over other interventions in improving the FMA-UE-Total upper limb motor function score of subjects with stroke. The BCI also had the most significant advantage in improving their MBI daily living ability. Future studies should consider and report on key patient characteristics, such as stroke severity, degree of upper limb impairment, and treatment intensity/frequency and duration. Systematic review registration www.crd.york.ac.uk/prospero/#recordDetail, identifier: CRD42022337776.
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Affiliation(s)
- Yu Zhu
- School of Sports Medicine and Rehabilitation, Beijing Sport University, Beijing, China
- Linfen Central Hospital, Linfen, Shanxi, China
| | - Chen Wang
- School of Sports Medicine and Rehabilitation, Beijing Sport University, Beijing, China
| | - Jin Li
- School of Sports Medicine and Rehabilitation, Beijing Sport University, Beijing, China
| | - Liqing Zeng
- School of Sports Medicine and Rehabilitation, Beijing Sport University, Beijing, China
| | - Peizhen Zhang
- School of Sports Medicine and Rehabilitation, Beijing Sport University, Beijing, China
- *Correspondence: Peizhen Zhang
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Kamijo A, Furihata C, Kimura Y, Furuhata I, Ohtani T, Miyajima T. Postural control exercise without using the upper limbs improves activities of daily living in patients with stroke. Front Rehabil Sci 2023; 4:1124515. [PMID: 37113747 PMCID: PMC10126374 DOI: 10.3389/fresc.2023.1124515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 03/24/2023] [Indexed: 04/29/2023]
Abstract
Introduction Stroke is one of the most common neurological disorders worldwide. Stroke survivors have restricted activities of daily living (ADL) and lower functional independence measures (FIM) after disease onset. Recovery of postural control abilities in patients with stroke is one of the most important therapeutic goals. In this study, we examined the differences in the FIM motor items between groups that performed postural control exercises with the upper limb and those that performed postural control exercises without the upper limb. Methods The medical records of patients with stroke admitted and discharged from the Recovery Rehabilitation Unit at Azumino Red Cross Hospital between 2016 and 2018 were reviewed. We retrospectively investigated the relationships between postural control exercises with or without upper limbs, FIM motor items at admission and discharge, and percentage of gait acquisition at discharge. Results and Discussion Among the thirteen FIM motor items, nine (bathing, dressing the upper body, dressing the lower body, toileting, transfers [bed, chair, and wheelchair], transfers [toilet], transfers [tub or shower], locomotion, and climbing of stairs) were significantly different between the two groups (those who performed postural control exercises with the upper limb and those who performed postural control exercises without the upper limb). Patients with stroke who performed postural control exercises without the upper limbs showed a higher percentage of gait acquisition. Touch contact during quiet standing reduces body sway and the associated fluctuations. However, continual practice of postural control with a small degree of body sway for a long period after a stroke would result in decreased pressure on the sole. This may hinder postural control relearning. Touch contact also reduces anticipatory postural adjustment, which may limit the improvement in balance ability during physical exercise. Postural control exercises without the upper limbs improve postural control ability and may be beneficial from a long-term perspective.
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Affiliation(s)
- Akio Kamijo
- Nagano College of Nursing, Division of Basic & Clinical Medicine, Komagane, Japan
- Correspondence: Akio Kamijo
| | - Chisato Furihata
- Azumino Red Closs Hospital, Division of Rehabilitation, Azumino, Japan
| | - Yuki Kimura
- Azumino Red Closs Hospital, Division of Rehabilitation, Azumino, Japan
| | - Isamu Furuhata
- Azumino Red Closs Hospital, Division of Rehabilitation, Azumino, Japan
| | - Takeshi Ohtani
- Azumino Red Closs Hospital, Division of Rehabilitation, Azumino, Japan
| | - Takeshi Miyajima
- Matsumoto Nakagawa Hospital, Division of Rehabilitation, Matsumoto, Japan
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11
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Bressi F, Cricenti L, Campagnola B, Bravi M, Miccinilli S, Santacaterina F, Sterzi S, Straudi S, Agostini M, Paci M, Casanova E, Marino D, La Rosa G, Giansanti D, Perrero L, Battistini A, Filoni S, Sicari M, Petrozzino S, Solaro CM, Gargano S, Benanti P, Boldrini P, Bonaiuti D, Castelli E, Draicchio F, Falabella V, Galeri S, Gimigliano F, Grigioni M, Mazzoleni S, Mazzon S, Molteni F, Petrarca M, Picelli A, Posteraro F, Senatore M, Turchetti G, Morone G, Gallotti M, Germanotta M, Aprile I. Effects of robotic upper limb treatment after stroke on cognitive patterns: A systematic review. NeuroRehabilitation 2022; 51:541-558. [PMID: 36530099 PMCID: PMC9837692 DOI: 10.3233/nre-220149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
BACKGROUND Robotic therapy (RT) has been internationally recognized for the motor rehabilitation of the upper limb. Although it seems that RT can stimulate and promote neuroplasticity, the effectiveness of robotics in restoring cognitive deficits has been considered only in a few recent studies. OBJECTIVE To verify whether, in the current state of the literature, cognitive measures are used as inclusion or exclusion criteria and/or outcomes measures in robotic upper limb rehabilitation in stroke patients. METHODS The systematic review was conducted according to PRISMA guidelines. Studies eligible were identified through PubMed/MEDLINE and Web of Science from inception to March 2021. RESULTS Eighty-one studies were considered in this systematic review. Seventy-three studies have at least a cognitive inclusion or exclusion criteria, while only seven studies assessed cognitive outcomes. CONCLUSION Despite the high presence of cognitive instruments used for inclusion/exclusion criteria their heterogeneity did not allow the identification of a guideline for the evaluation of patients in different stroke stages. Therefore, although the heterogeneity and the low percentage of studies that included cognitive outcomes, seemed that the latter were positively influenced by RT in post-stroke rehabilitation. Future larger RCTs are needed to outline which cognitive scales are most suitable and their cut-off, as well as what cognitive outcome measures to use in the various stages of post-stroke rehabilitation.
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Affiliation(s)
- Federica Bressi
- Physical Medicine and Rehabilitation Unit, Campus Bio-Medico University Polyclinic Foundation, Rome, Italy
| | - Laura Cricenti
- Physical Medicine and Rehabilitation Unit, Campus Bio-Medico University Polyclinic Foundation, Rome, Italy
| | - Benedetta Campagnola
- Physical Medicine and Rehabilitation Unit, Campus Bio-Medico University Polyclinic Foundation, Rome, Italy,Address for correspondence: Benedetta Campagnola, Physical Medicine and Rehabilitation Unit, Campus Bio-Medico University Polyclinic Foundation, Rome, Italy. E-mail:
| | - Marco Bravi
- Physical Medicine and Rehabilitation Unit, Campus Bio-Medico University Polyclinic Foundation, Rome, Italy
| | - Sandra Miccinilli
- Physical Medicine and Rehabilitation Unit, Campus Bio-Medico University Polyclinic Foundation, Rome, Italy
| | - Fabio Santacaterina
- Physical Medicine and Rehabilitation Unit, Campus Bio-Medico University Polyclinic Foundation, Rome, Italy
| | - Silvia Sterzi
- Physical Medicine and Rehabilitation Unit, Campus Bio-Medico University Polyclinic Foundation, Rome, Italy
| | - Sofia Straudi
- Department of Neuroscience and Rehabilitation, Ferrara University Hospital, Ferrara, Italy
| | | | - Matteo Paci
- AUSL (Unique Sanitary Local Company) District of Central Tuscany, Florence, Italy
| | - Emanuela Casanova
- Unità Operativa di Medicina Riabilitativa e Neuroriabilitazione (SC), IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Dario Marino
- IRCCS Neurolysis Center “Bonino Pulejo”, Messina, Italy
| | | | - Daniele Giansanti
- National Center for Innovative Technologies in Public Health, Italian National Institute of Health, Rome, Italy
| | - Luca Perrero
- Neurorehabilitation Unit, Azienda Ospedaliera Nazionale SS. Antonio e Biagio e Cesare Arrigo, Alessandria, Italy
| | - Alberto Battistini
- Unità Operativa di Medicina Riabilitativa e Neuroriabilitazione (SC), IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Serena Filoni
- Padre Pio Onlus Rehabilitation Centers Foundation, San Giovanni Rotondo, Italy
| | - Monica Sicari
- A.O.U. Città della Salute e della Scienza di Torino, Turin, Italy
| | | | | | | | | | - Paolo Boldrini
- Società Italiana di Medicina Fisica e Riabilitativa (SIMFER), Rome, Italy
| | | | - Enrico Castelli
- Department of Paediatric Neurorehabilitation, IRCCS Bambino Gesù Children’s Hospital, Rome, Italy
| | - Francesco Draicchio
- Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL, Rome, Italy
| | - Vincenzo Falabella
- Italian Federation of Persons with Spinal Cord Injuries (Faip Onlus), Rome, Italy
| | | | - Francesca Gimigliano
- Department of Mental, Physical Health and Preventive Medicine, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Mauro Grigioni
- National Center for Innovative Technologies in Public Health, Italian National Institute of Health, Rome, Italy
| | - Stefano Mazzoleni
- Department of Electrical and Information Engineering, Politecnico di Bari, Bari, Italy
| | - Stefano Mazzon
- AULSS6 (Unique Sanitary Local Company) Euganea Padova – Distretto 4 “Alta Padovana”, Padua, Italy
| | - Franco Molteni
- Department of Rehabilitation Medicine, Villa Beretta Rehabilitation Center, Valduce Hospital, Lecco, Italy
| | - Maurizio Petrarca
- Movement Analysis and Robotics Laboratory (MARlab), IRCCS Bambino Gesù Children’s Hospital, Rome, Italy
| | - Alessandro Picelli
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Federico Posteraro
- Department of Rehabilitation, Versilia Hospital – AUSL12, Viareggio, Italy
| | - Michele Senatore
- Associazione Italiana dei Terapisti Occupazionali (AITO), Rome, Italy
| | | | | | | | | | - Irene Aprile
- IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
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12
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Seol J, Yoon K, Kim KG. Mathematical Analysis and Motion Capture System Utilization Method for Standardization Evaluation of Tracking Objectivity of 6-DOF Arm Structure for Rehabilitation Training Exercise Therapy Robot. Diagnostics (Basel) 2022; 12. [PMID: 36553186 DOI: 10.3390/diagnostics12123179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 12/12/2022] [Accepted: 12/12/2022] [Indexed: 12/23/2022] Open
Abstract
A treatment method for suppressing shoulder pain by reducing the secretion of neurotransmitters in the brain is being studied in compliance with domestic and international standards. A robot is being developed to assist physical therapists in shoulder rehabilitation exercise treatment. The robot used for rehabilitation therapy enables the training of patients to perform rehabilitation exercises repeatedly. However, the biomechanical movement (or motion) of the shoulder joint should be accurately designed to enhance efficiency using a shoulder rehabilitation robot. Furthermore, safely treating patients by accurately evaluating biomechanical movements in compliance with domestic and international standards is a major task. Therefore, an in-depth analysis of shoulder movement is essential for understanding the mechanism of shoulder rehabilitation using robots. This paper proposes a method for analyzing shoulder movements. The rotation angle and range of motion (ROM) of the shoulder joint are measured by attaching a marker to the body and analyzing the inverse kinematics. The first motion is abduction and adduction, and the second is external and internal rotation. The location information of the marker is transmitted to an application software through an infrared camera. For the analysis using an inverse kinematics solution, five males and five females participated in the motion capture experiment. The subjects did not have any disability, and abduction and adduction were repeated 10 times. As a result, ROM of the abduction and adduction were 148° with males and 138.7° in females. Moreover, ROM of the external and internal rotation were 111.2° with males and 106° in females. Because this study enables tracking of the center coordinates of the joint suitably through a motion capture system, inverse kinematics can be accurately calculated. Additionally, a mathematical inverse kinematics equation will utilize follow-up study for designing an upper rehabilitations robot. The proposed method is assessed to be able to contribute to the definition of domestic and international standardization of rehabilitation robots and motion capture for objective evaluation.
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13
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Xie Q, Sheng B, Huang J, Zhang Q, Zhang Y. A Pilot Study of Compensatory Strategies for Reach-to-Grasp-Pen in Patients with Stroke. Appl Bionics Biomech 2022; 2022:1-13. [DOI: 10.1155/2022/6933043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 09/15/2022] [Accepted: 09/27/2022] [Indexed: 11/13/2022] Open
Abstract
Coordinated reaching and grasping movements may be impaired in patients with poststroke hemiplegia. Patients frequently adopt compensatory strategies, which require investigation. This pilot study used kinematic parameters to examine compensatory strategies by assessing the reach-to-grasp-pen movements in patients with stroke and unaffected participants. Twelve patients with stroke with mild impairment (45.16 ± 12.62 years, 2.41 ± 1.97 months), twelve with moderate impairment (50.41 ± 12.92 years, 3.83 ± 3.58 months), and ten healthy individuals (20.6 ± 0.69 years) performed a reach-to-grasp-pen task. Kinematics parameters of upper limb and fingers, such as movement time, number of movement units, index of curvature, spectral arc length, trunk forward transition, trunk lateral transition, elbow extension, shoulder flexion, shoulder abduction, trunk rotation, arm-plane angle, the joint angles of interphalangeal joints of the thumb, index, middle, ring, and little fingers were examined in the study. These parameters were evaluated with two Microsoft Azure Kinect and Leap Motion, which belong to markerless motion capture systems. Patients with stroke showed longer reaching movement time, less smooth movement trajectories, and more trunk rotation (
). In patients with stroke, the metacarpophalangeal joint (MCP) and proximal interphalangeal joint (PIP) of the thumb were flexed in the starting position; the MCP and PIP joints of the index finger in the stroke group were more extended during pen grasp; the range of motion of the MCP of the middle finger and the PIP joints of the middle, ring, and little fingers became greater, suggesting a larger peak aperture (
). The more significant extension was observed in the index finger at the end of the grasp, suggesting inadequate flexion (
). In clinical practice, the reach-to-grasp-pen task using markless sensing technology can effectively distinguish patients with stroke from healthy individuals and evaluate the recovery and compensation strategies of upper limb and hand functions. It can potentially become an evaluation tool in hospital and community scenes. Accurate identification of abnormal trunk, arm, and finger strategies is crucial for therapists to develop targeted upper limb treatment methods and evaluate treatment effects.
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14
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Longatelli V, Torricelli D, Tornero J, Pedrocchi A, Molteni F, Pons JL, Gandolla M. A unified scheme for the benchmarking of upper limb functions in neurological disorders. J Neuroeng Rehabil 2022; 19:102. [PMID: 36167552 PMCID: PMC9513990 DOI: 10.1186/s12984-022-01082-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 09/08/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND In neurorehabilitation, we are witnessing a growing awareness of the importance of standardized quantitative assessment of limb functions. Detailed assessments of the sensorimotor deficits following neurological disorders are crucial. So far, this assessment has relied mainly on clinical scales, which showed several drawbacks. Different technologies could provide more objective and repeatable measurements. However, the current literature lacks practical guidelines for this purpose. Nowadays, the integration of available metrics, protocols, and algorithms into one harmonized benchmarking ecosystem for clinical and research practice is necessary. METHODS This work presents a benchmarking framework for upper limb capacity. The scheme resulted from a multidisciplinary and iterative discussion among several partners with previous experience in benchmarking methodology, robotics, and clinical neurorehabilitation. We merged previous knowledge in benchmarking methodologies for human locomotion and direct clinical and engineering experience in upper limb rehabilitation. The scheme was designed to enable an instrumented evaluation of arm capacity and to assess the effectiveness of rehabilitative interventions with high reproducibility and resolution. It includes four elements: (1) a taxonomy for motor skills and abilities, (2) a list of performance indicators, (3) a list of required sensor modalities, and (4) a set of reproducible experimental protocols. RESULTS We proposed six motor primitives as building blocks of most upper-limb daily-life activities and combined them into a set of functional motor skills. We identified the main aspects to be considered during clinical evaluation, and grouped them into ten motor abilities categories. For each ability, we proposed a set of performance indicators to quantify the proposed ability on a quantitative and high-resolution scale. Finally, we defined the procedures to be followed to perform the benchmarking assessment in a reproducible and reliable way, including the definition of the kinematic models and the target muscles. CONCLUSIONS This work represents the first unified scheme for the benchmarking of upper limb capacity. To reach a consensus, this scheme should be validated with real experiments across clinical conditions and motor skills. This validation phase is expected to create a shared database of human performance, necessary to have realistic comparisons of treatments and drive the development of new personalized technologies.
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Affiliation(s)
- Valeria Longatelli
- Neuroengineering and Medical Robotics Laboratory and WE-COBOT Laboratory, Department of Electronics, Information, and Bioengineering, Politecnico di Milano, Milan, Italy.
| | - Diego Torricelli
- Neural Rehabilitation Group, Cajal Institute, Spanish National Research Council (CSIC), Madrid, Spain
| | - Jesús Tornero
- Advanced Neurorehabilitation Unit, Hospital Los Madroños, Madrid, Spain
| | - Alessandra Pedrocchi
- Neuroengineering and Medical Robotics Laboratory and WE-COBOT Laboratory, Department of Electronics, Information, and Bioengineering, Politecnico di Milano, Milan, Italy
| | - Franco Molteni
- Villa Beretta Rehabilitation Center, Valduce Hospital, Costa Masnaga, Italy
| | | | - Marta Gandolla
- WE-COBOT Laboratory, Department of Mechanical Engineering, Politecnico di Milano, Milan, Italy
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15
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Spanakis M, Xylouri I, Patelarou E, Patelarou A. A Literature Review of High-Tech Physiotherapy Interventions in the Elderly with Neurological Disorders. IJERPH 2022; 19:9233. [PMID: 35954587 PMCID: PMC9368072 DOI: 10.3390/ijerph19159233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 07/22/2022] [Accepted: 07/27/2022] [Indexed: 11/28/2022]
Abstract
Neurological physiotherapy adopts a problem-based approach for each patient as determined by a thorough evaluation of the patient’s physical and mental well-being. Τhis work aims to provide a literature review of physical therapy interventions in the elderly with neurological diseases (NDs) and discuss physiotherapy procedures and methods that utilize cutting-edge technologies for which clinical studies are available. Hence, the review focuses on acute NDs (stroke), deteriorating NDs (Parkinson’s disease), and age-related cognitive impairment. The most used physiotherapy procedures on which clinical data are available are balance and gait training (robot-assisted or not), occupational therapy, classical physiotherapy, walking and treadmill training, and upper limb robot-assisted therapy. Respectively, the most often-used equipment are types of treadmills, robotic-assisted equipment (Lokomat® and Gait Trainer GT1), and portable walkway systems (GAITRite®), along with state-of-the-art technologies of virtual reality, virtual assistants, and smartphones. The findings of this work summarize the core standard tools and procedures, but more importantly, provide a glimpse of the new era in physiotherapy with the utilization of innovative equipment tools for advanced patient monitoring and empowerment.
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16
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Wang X, Fu Y, Ye B, Babineau J, Ding Y, Mihailidis A. Technology-Based Compensation Assessment and Detection of Upper Extremity Activities of Stroke Survivors: Systematic Review. J Med Internet Res 2022; 24:e34307. [PMID: 35699982 PMCID: PMC9237771 DOI: 10.2196/34307] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Revised: 03/25/2022] [Accepted: 04/10/2022] [Indexed: 11/13/2022] Open
Abstract
Background Upper extremity (UE) impairment affects up to 80% of stroke survivors and accounts for most of the rehabilitation after discharge from the hospital release. Compensation, commonly used by stroke survivors during UE rehabilitation, is applied to adapt to the loss of motor function and may impede the rehabilitation process in the long term and lead to new orthopedic problems. Intensive monitoring of compensatory movements is critical for improving the functional outcomes during rehabilitation. Objective This review analyzes how technology-based methods have been applied to assess and detect compensation during stroke UE rehabilitation. Methods We conducted a wide database search. All studies were independently screened by 2 reviewers (XW and YF), with a third reviewer (BY) involved in resolving discrepancies. The final included studies were rated according to their level of clinical evidence based on their correlation with clinical scales (with the same tasks or the same evaluation criteria). One reviewer (XW) extracted data on publication, demographic information, compensation types, sensors used for compensation assessment, compensation measurements, and statistical or artificial intelligence methods. Accuracy was checked by another reviewer (YF). Four research questions were presented. For each question, the data were synthesized and tabulated, and a descriptive summary of the findings was provided. The data were synthesized and tabulated based on each research question. Results A total of 72 studies were included in this review. In all, 2 types of compensation were identified: disuse of the affected upper limb and awkward use of the affected upper limb to adjust for limited strength, mobility, and motor control. Various models and quantitative measurements have been proposed to characterize compensation. Body-worn technology (25/72, 35% studies) was the most used sensor technology to assess compensation, followed by marker-based motion capture system (24/72, 33% studies) and marker-free vision sensor technology (16/72, 22% studies). Most studies (56/72, 78% studies) used statistical methods for compensation assessment, whereas heterogeneous machine learning algorithms (15/72, 21% studies) were also applied for automatic detection of compensatory movements and postures. Conclusions This systematic review provides insights for future research on technology-based compensation assessment and detection in stroke UE rehabilitation. Technology-based compensation assessment and detection have the capacity to augment rehabilitation independent of the constant care of therapists. The drawbacks of each sensor in compensation assessment and detection are discussed, and future research could focus on methods to overcome these disadvantages. It is advised that open data together with multilabel classification algorithms or deep learning algorithms could benefit from automatic real time compensation detection. It is also recommended that technology-based compensation predictions be explored.
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Affiliation(s)
- Xiaoyi Wang
- School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Fu
- School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China
| | - Bing Ye
- KITE - Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada.,Department of Occupational Science and Occupational Therapy, University of Toronto, Toronto, ON, Canada
| | - Jessica Babineau
- Library and Information Services, University Health Network, Toronto, ON, Canada
| | - Yong Ding
- Department of Rehabilitation Medicine, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, China
| | - Alex Mihailidis
- KITE - Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada.,Department of Occupational Science and Occupational Therapy, University of Toronto, Toronto, ON, Canada
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17
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Gerardin E, Bontemps D, Babuin NT, Herman B, Denis A, Bihin B, Regnier M, Leeuwerck M, Deltombe T, Riga A, Vandermeeren Y. Bimanual motor skill learning with robotics in chronic stroke: comparison between minimally impaired and moderately impaired patients, and healthy individuals. J Neuroeng Rehabil 2022; 19:28. [PMID: 35300709 PMCID: PMC8928664 DOI: 10.1186/s12984-022-01009-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 02/22/2022] [Indexed: 12/01/2022] Open
Abstract
Background Most activities of daily life (ADL) require cooperative bimanual movements. A unilateral stroke may severely impair bimanual ADL. How patients with stroke (re)learn to coordinate their upper limbs (ULs) is largely unknown. The objectives are to determine whether patients with chronic supratentorial stroke could achieve bimanual motor skill learning (bim-MSkL) and to compare bim-MSkL between patients and healthy individuals (HIs). Methods Twenty-four patients and ten HIs trained over 3 consecutive days on an asymmetrical bimanual coordination task (CIRCUIT) implemented as a serious game in the REAplan® robot. With a common cursor controlled by coordinated movements of the ULs through robotic handles, they performed as many laps as possible (speed constraint) on the CIRCUIT while keeping the cursor within the track (accuracy constraint). The primary outcome was a bimanual speed/accuracy trade-off (biSAT), we used a bimanual coordination factor (biCO) and bimanual forces (biFOP) for the secondary outcomes. Several clinical scales were used to evaluate motor and cognitive functions. Results Overall, the patients showed improvements on biSAT and biCO. Based on biSAT progression, the HI achieved a larger bim-MSkL than the patients with mild to moderate impairment (Fugl-Meyer Assessment Upper Extremity (FMA-UE): 28–55, n = 15) but not significantly different from those with minimal motor impairment (FMA-UE: 66, n = 9). There was a significant positive correlation between biSAT evolution and the FMA-UE and Stroke Impact Scale. Conclusions Both HI and patients with chronic stroke training on a robotic device achieved bim-MSkL, although the more impaired patients were less efficient. Bim-MSkL with REAplan® may be interesting for neurorehabilitation after stroke. Trial registration: ClinicalTrial.gov identifier: NCT03974750. Registered 05 June 2019. https://clinicaltrials.gov/ct2/show/NCT03974750?cond=NCT03974750&draw=2&rank=1 Supplementary Information The online version contains supplementary material available at 10.1186/s12984-022-01009-3.
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Affiliation(s)
- Eloïse Gerardin
- Neurology Department, Stroke Unit, UCLouvain, CHU UCL Namur (Godinne), Yvoir, Belgium. .,Louvain Bionics, UCLouvain, Louvain-la-Neuve, Belgium. .,Institute of NeuroScience (IoNS), NEUR Division, UCLouvain, Brussels, Belgium.
| | - Damien Bontemps
- Department of Physical Medicine and Rehabilitation, UCLouvain, CHU UCL Namur (Godinne), Yvoir, Belgium.,Faculty of Motor Sciences, UCLouvain, Louvain-La-Neuve, Belgium
| | - Nicolas-Thomas Babuin
- Department of Physical Medicine and Rehabilitation, UCLouvain, CHU UCL Namur (Godinne), Yvoir, Belgium.,Faculty of Motor Sciences, UCLouvain, Louvain-La-Neuve, Belgium
| | - Benoît Herman
- Louvain Bionics, UCLouvain, Louvain-la-Neuve, Belgium.,Institute of Mechanics, Materials and Civil Engineering, UCLouvain, Louvain-la-Neuve, Belgium
| | - Adrien Denis
- Louvain Bionics, UCLouvain, Louvain-la-Neuve, Belgium.,Institute of Mechanics, Materials and Civil Engineering, UCLouvain, Louvain-la-Neuve, Belgium
| | - Benoît Bihin
- Scientific Support Unit (USS), UCLouvain, CHU UCL Namur (Godinne), Yvoir, Belgium
| | - Maxime Regnier
- Scientific Support Unit (USS), UCLouvain, CHU UCL Namur (Godinne), Yvoir, Belgium
| | - Maria Leeuwerck
- Department of Physical Medicine and Rehabilitation, UCLouvain, CHU UCL Namur (Godinne), Yvoir, Belgium
| | - Thierry Deltombe
- Department of Physical Medicine and Rehabilitation, UCLouvain, CHU UCL Namur (Godinne), Yvoir, Belgium
| | - Audrey Riga
- Neurology Department, Stroke Unit, UCLouvain, CHU UCL Namur (Godinne), Yvoir, Belgium.,Louvain Bionics, UCLouvain, Louvain-la-Neuve, Belgium.,Institute of NeuroScience (IoNS), NEUR Division, UCLouvain, Brussels, Belgium
| | - Yves Vandermeeren
- Neurology Department, Stroke Unit, UCLouvain, CHU UCL Namur (Godinne), Yvoir, Belgium.,Louvain Bionics, UCLouvain, Louvain-la-Neuve, Belgium.,Institute of NeuroScience (IoNS), NEUR Division, UCLouvain, Brussels, Belgium
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18
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Liu Q, Liu Y, Li Y, Zhu C, Meng W, Ai Q, Xie SQ. Path Planning and Impedance Control of a Soft Modular Exoskeleton for Coordinated Upper Limb Rehabilitation. Front Neurorobot 2021; 15:745531. [PMID: 34790109 PMCID: PMC8591133 DOI: 10.3389/fnbot.2021.745531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 09/27/2021] [Indexed: 11/13/2022] Open
Abstract
The coordinated rehabilitation of the upper limb is important for the recovery of the daily living abilities of stroke patients. However, the guidance of the joint coordination model is generally lacking in the current robot-assisted rehabilitation. Modular robots with soft joints can assist patients to perform coordinated training with safety and compliance. In this study, a novel coordinated path planning and impedance control method is proposed for the modular exoskeleton elbow-wrist rehabilitation robot driven by pneumatic artificial muscles (PAMs). A convolutional neural network-long short-term memory (CNN-LSTM) model is established to describe the coordination relationship of the upper limb joints, so as to generate adaptive trajectories conformed to the coordination laws. Guided by the planned trajectory, an impedance adjustment strategy is proposed to realize active training within a virtual coordinated tunnel to achieve the robot-assisted upper limb coordinated training. The experimental results showed that the CNN-LSTM hybrid neural network can effectively quantify the coordinated relationship between the upper limb joints, and the impedance control method ensures that the robotic assistance path is always in the virtual coordination tunnel, which can improve the movement coordination of the patient and enhance the rehabilitation effectiveness.
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Affiliation(s)
- Quan Liu
- School of Information Engineering, Wuhan University of Technology, Wuhan, China
| | - Yang Liu
- School of Information Engineering, Wuhan University of Technology, Wuhan, China
| | - Yi Li
- School of Information Engineering, Wuhan University of Technology, Wuhan, China
| | - Chang Zhu
- School of Information Engineering, Wuhan University of Technology, Wuhan, China
| | - Wei Meng
- School of Information Engineering, Wuhan University of Technology, Wuhan, China
| | - Qingsong Ai
- School of Information Engineering, Wuhan University of Technology, Wuhan, China
| | - Sheng Q Xie
- School of Electronic and Electrical Engineering, University of Leeds, Leeds, United Kingdom
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Abstract
BACKGROUND Approximately two thirds of stroke survivors maintain upper limb (UL) impairments and few among them attain complete UL recovery 6 months after stroke. Technological progress and gamification of interventions aim for better outcomes and constitute opportunities in self- and tele-rehabilitation. OBJECTIVES Our objective was to assess the efficacy of serious games, implemented on diverse technological systems, targeting UL recovery after stroke. In addition, we investigated whether adherence to neurorehabilitation principles influenced efficacy of games specifically designed for rehabilitation, regardless of the device used. METHOD This systematic review was conducted according to PRISMA guidelines (PROSPERO registration number: 156589). Two independent reviewers searched PubMed, EMBASE, SCOPUS and Cochrane Central Register of Controlled Trials for eligible randomized controlled trials (PEDro score ≥ 5). Meta-analysis, using a random effects model, was performed to compare effects of interventions using serious games, to conventional treatment, for UL rehabilitation in adult stroke patients. In addition, we conducted subgroup analysis, according to adherence of included studies to a consolidated set of 11 neurorehabilitation principles. RESULTS Meta-analysis of 42 trials, including 1760 participants, showed better improvements in favor of interventions using serious games when compared to conventional therapies, regarding UL function (SMD = 0.47; 95% CI = 0.24 to 0.70; P < 0.0001), activity (SMD = 0.25; 95% CI = 0.05 to 0.46; P = 0.02) and participation (SMD = 0.66; 95% CI = 0.29 to 1.03; P = 0.0005). Additionally, long term effect retention was observed for UL function (SMD = 0.42; 95% CI = 0.05 to 0.79; P = 0.03). Interventions using serious games that complied with at least 8 neurorehabilitation principles showed better overall effects. Although heterogeneity levels remained moderate, results were little affected by changes in methods or outliers indicating robustness. CONCLUSION This meta-analysis showed that rehabilitation through serious games, targeting UL recovery after stroke, leads to better improvements, compared to conventional treatment, in three ICF-WHO components. Irrespective of the technological device used, higher adherence to a consolidated set of neurorehabilitation principles enhances efficacy of serious games. Future development of stroke-specific rehabilitation interventions should further take into consideration the consolidated set of neurorehabilitation principles.
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Affiliation(s)
- Ioannis Doumas
- Institut de Recherche Expérimentale et Clinique, Neuro Musculo Skeletal Lab (NMSK), Secteur des Sciences de la Santé, Université Catholique de Louvain, Avenue Mounier 53, 1200, Brussels, Belgium
- Service de Médecine Physique et Réadaptation, Cliniques Universitaires Saint-Luc, Avenue Hippocrate 10, 1200, Brussels, Belgium
- Université Catholique de Louvain, Louvain Bionics, 1348, Louvain-la-Neuve, Belgium
| | - Gauthier Everard
- Institut de Recherche Expérimentale et Clinique, Neuro Musculo Skeletal Lab (NMSK), Secteur des Sciences de la Santé, Université Catholique de Louvain, Avenue Mounier 53, 1200, Brussels, Belgium
- Université Catholique de Louvain, Louvain Bionics, 1348, Louvain-la-Neuve, Belgium
| | - Stéphanie Dehem
- Institut de Recherche Expérimentale et Clinique, Neuro Musculo Skeletal Lab (NMSK), Secteur des Sciences de la Santé, Université Catholique de Louvain, Avenue Mounier 53, 1200, Brussels, Belgium
- Service de Médecine Physique et Réadaptation, Cliniques Universitaires Saint-Luc, Avenue Hippocrate 10, 1200, Brussels, Belgium
- Université Catholique de Louvain, Louvain Bionics, 1348, Louvain-la-Neuve, Belgium
| | - Thierry Lejeune
- Institut de Recherche Expérimentale et Clinique, Neuro Musculo Skeletal Lab (NMSK), Secteur des Sciences de la Santé, Université Catholique de Louvain, Avenue Mounier 53, 1200, Brussels, Belgium.
- Service de Médecine Physique et Réadaptation, Cliniques Universitaires Saint-Luc, Avenue Hippocrate 10, 1200, Brussels, Belgium.
- Université Catholique de Louvain, Louvain Bionics, 1348, Louvain-la-Neuve, Belgium.
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Wu J, Cheng H, Zhang J, Yang S, Cai S. Robot-Assisted Therapy for Upper Extremity Motor Impairment After Stroke: A Systematic Review and Meta-Analysis. Phys Ther 2021; 101:6103015. [PMID: 33454787 DOI: 10.1093/ptj/pzab010] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 07/31/2020] [Accepted: 12/06/2020] [Indexed: 01/02/2023]
Abstract
OBJECTIVE The purpose of this study was to review the effects of robot-assisted therapy (RT) for improving poststroke upper extremity motor impairment. METHODS The PubMed, Embase, Medline, and Web of Science databases were searched from inception to April 8, 2020. Randomized controlled trials that were conducted to evaluate the effects of RT on upper extremity motor impairment poststroke and that used Fugl-Meyer assessment for upper extremity scores as an outcome were included. Two authors independently screened articles, extracted data, and assessed the methodological quality of the included studies using the Physiotherapy Evidence Database (PEDro) scale. A random-effects meta-analysis was performed to pool the effect sizes across the studies. RESULTS Forty-one randomized controlled trials with 1916 stroke patients were included. Compared with dose-matched conventional rehabilitation, RT significantly improved the Fugl-Meyer assessment for upper extremity scores of the patients with stroke, with a small effect size (Hedges g = 0.25; 95% CI, 0.11-0.38; I2 = 45.9%). The subgroup analysis revealed that the effects of unilateral RT, but not that of bilateral RT, were superior to conventional rehabilitation (Hedges g = 0.32; 95% CI, 0.15-0.50; I2 = 55.9%). Regarding the type of robot devices, the effects of the end effector device (Hedges g = 0.22; 95% CI, 0.09-0.36; I2 = 35.4%), but not the exoskeleton device, were superior to conventional rehabilitation. Regarding the stroke stage, the between-group difference (ie, RT vs convention rehabilitation) was significant only for people with late subacute or chronic stroke (Hedges g = 0.33; 95% CI, 0.16-0.50; I2 = 34.2%). CONCLUSION RT might be superior to conventional rehabilitation in improving upper extremity motor impairment in people after stroke with notable upper extremity hemiplegia and limited potential for spontaneous recovery.
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Affiliation(s)
- Jingyi Wu
- Rehabilitation Hospital affiliated to Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.,Fujian Key Laboratory of Rehabilitation Technology, Fuzhou, Fujian, China
| | - Hao Cheng
- Rehabilitation Hospital affiliated to Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.,Fujian Key Laboratory of Rehabilitation Technology, Fuzhou, Fujian, China
| | - Jiaqi Zhang
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Shanli Yang
- Rehabilitation Hospital affiliated to Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.,Fujian Key Laboratory of Rehabilitation Technology, Fuzhou, Fujian, China
| | - Sufang Cai
- Rehabilitation Hospital affiliated to Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.,Fujian Key Laboratory of Rehabilitation Technology, Fuzhou, Fujian, China
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Lencioni T, Fornia L, Bowman T, Marzegan A, Caronni A, Turolla A, Jonsdottir J, Carpinella I, Ferrarin M. A randomized controlled trial on the effects induced by robot-assisted and usual-care rehabilitation on upper limb muscle synergies in post-stroke subjects. Sci Rep 2021; 11:5323. [PMID: 33674675 DOI: 10.1038/s41598-021-84536-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Accepted: 02/04/2021] [Indexed: 12/28/2022] Open
Abstract
Muscle synergies are hypothesized to reflect connections among motoneurons in the spinal cord activated by central commands and sensory feedback. Robotic rehabilitation of upper limb in post-stroke subjects has shown promising results in terms of improvement of arm function and motor control achieved by reassembling muscle synergies into a set more similar to that of healthy people. However, in stroke survivors the potentially neurophysiological changes induced by robot-mediated learning versus usual care have not yet been investigated. We quantified upper limb motor deficits and the changes induced by rehabilitation in 32 post-stroke subjects through the movement analysis of two virtual untrained tasks of object placing and pronation. The sample analyzed in this study is part of a larger bi-center study and included all subjects who underwent kinematic analysis and were randomized into robot and usual care groups. Post-stroke subjects who followed robotic rehabilitation showed larger improvements in axial-to-proximal muscle synergies with respect to those who underwent usual care. This was associated to a significant improvement of the proximal kinematics. Both treatments had negative effects in muscle synergies controlling the distal district. This study supports the definition of new rehabilitative treatments for improving the neurophysiological recovery after stroke.
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Perini G, Bertoni R, Thorsen R, Carpinella I, Lencioni T, Ferrarin M, Jonsdottir J. Sequentially applied myoelectrically controlled FES in a task-oriented approach and robotic therapy for the recovery of upper limb in post-stroke patients: A randomized controlled pilot study. Technol Health Care 2021; 29:419-429. [PMID: 33386831 DOI: 10.3233/thc-202371] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Functional recovery of the plegic upper limb in post-stroke patients may be enhanced by sequentially applying a myoelectrically controlled FES (MeCFES), which allows the patient to voluntarily control the muscle contraction during a functional movement, and robotic therapy which allows many repetitions of movements. OBJECTIVE Evaluate the efficacy of MeCFES followed by robotic therapy compared to standard care arm rehabilitation for post-stroke patients. METHODS Eighteen stroke subjects (onset ⩾ 3 months, age 60.1 ± 15.5) were recruited and randomized to receive an experimental combination of MeCFES during task-oriented reaching followed by robot therapy (MRG) or same intensity conventional rehabilitation care (CG) aimed at the recovery of the upper limb (20 sessions/45 minutes). Change was evaluated through Fugl-Meyer upper extremity (FMA-UE), Reaching Performance Scale and Box and Block Test. RESULTS The experimental treatment resulted in higher improvement on the FMA-UE compared with CG (P= 0.04), with a 10-point increase following intervention. Effect sizes were moderate in favor of the MRG group on FMA-UE, FMA-UE proximal and RPS (0.37-0.56). CONCLUSIONS Preliminary findings indicate that a combination of MeCFES and robotic treatment may be more effective than standard care for recovery of the plegic arm in persons > 3 months after stroke. The mix of motor learning techniques may be important for successful rehabilitation of arm function.
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