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Tanczak N, Yurkewich A, Missiroli F, Wee SK, Kager S, Choi H, Cho KJ, Yap HK, Piazza C, Masia L, Lambercy O. Soft Robotics in Upper Limb Neurorehabilitation and Assistance: Current Clinical Evidence and Recommendations. Soft Robot 2025. [PMID: 39761022 DOI: 10.1089/soro.2024.0034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2025] Open
Abstract
Soft robotics is gaining interest in rehabilitation applications, bringing new opportunities to offset the loss of upper limb motor function following neurological, neuromuscular, or traumatic injuries. Unlike conventional rigid robotics, the added softness in linkages or joints promises to make rehabilitation robots compliant, which translates into higher levels of safety, comfort, usability, and portability, opening the door for these rehabilitation technologies to be used in daily life. While several reviews documented the different technical implementations of soft rehabilitation robots, it is essential to discuss the growing clinical evidence on the feasibility and effectiveness of using this technology for rehabilitative and assistive purposes, whether softness brings the expected advantages from the perspective of end users, and how we should proceed in the future of this field. In this perspective article, we present recent clinical evidence on how 13 different upper limb devices were used in both controlled (clinical) and uncontrolled (at home) settings in more than 37 clinical studies. From these findings and our own experience, we derive recommendations for future developers and end users regarding the design, application, and evaluation of soft robotics for upper limb rehabilitation and assistance.
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Affiliation(s)
- Natalie Tanczak
- Singapore-ETH Centre, Future Health Technologies Programme, Singapore, Singapore
- Department of Health Sciences and Technology, Rehabilitation Engineering Laboratory, ETH Zurich, Zurich, Switzerland
| | - Aaron Yurkewich
- Mechatronics Engineering, Ontario Tech University, Oshawa, Canada
| | - Francesco Missiroli
- Institute of Computer Engineering (ZITI), Faculty of Engineering Sciences, Heidelberg University, Heidelberg, Germany
| | - Seng Kwee Wee
- Clinic for Advanced Rehabilitation Therapeutics (CART), Tan Tock Seng Hospital, Singapore, Singapore
- Institute of Rehabilitation Excellence (IRex), Tan Tock Seng Hospital, Singapore, Singapore
- Singapore Institute of Technology, Singapore, Singapore
| | - Simone Kager
- Singapore-ETH Centre, Future Health Technologies Programme, Singapore, Singapore
- Department of Health Sciences and Technology, Rehabilitation Engineering Laboratory, ETH Zurich, Zurich, Switzerland
| | - Hyungmin Choi
- Department of Mechanical Engineering, Soft Robotics Research Centre (SRRC), Seoul National University, Seoul, Republic of Korea
| | - Kyu-Jin Cho
- Department of Mechanical Engineering, Soft Robotics Research Centre (SRRC), Seoul National University, Seoul, Republic of Korea
| | | | - Cristina Piazza
- School of Computation, Information and Technology and Munich Institute of Robotics and Machine Intelligence (MIRMI), Technical University of Munich, Munich, Germany
| | - Lorenzo Masia
- School of Computation, Information and Technology and Munich Institute of Robotics and Machine Intelligence (MIRMI), Technical University of Munich, Munich, Germany
| | - Olivier Lambercy
- Singapore-ETH Centre, Future Health Technologies Programme, Singapore, Singapore
- Department of Health Sciences and Technology, Rehabilitation Engineering Laboratory, ETH Zurich, Zurich, Switzerland
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Gerez L, Micera S, Nuckols R, Proietti T. Assessment of wearable robotics performance in patients with neurological conditions. Curr Opin Neurol 2024; 37:645-654. [PMID: 39373271 DOI: 10.1097/wco.0000000000001328] [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: 10/08/2024]
Abstract
PURPOSE OF REVIEW While wearable robotics is expanding within clinical settings, particularly for neurological rehabilitation, there is still a lack of consensus on how to effectively assess the performance of these devices. This review focuses on the most common metrics, whose selection and design are crucial for optimizing treatment outcomes and potentially improve the standard care. RECENT FINDINGS The literature reveals that while wearable robots are equipped with various embedded sensors, most studies still rely on traditional, nontechnological methods for assessment. Recent studies have shown that, although quantitative data from embedded sensors are available (e.g., kinematics), these are underutilized in favor of qualitative assessments. A trend toward integrating automatic assessments from the devices themselves is emerging, with a few notable studies pioneering this approach. SUMMARY Our analysis suggests a critical need for developing standardized metrics that leverage the data from embedded sensors in wearable robots. This shift could enhance the accuracy of patient assessments and the effectiveness of rehabilitation strategies, ultimately leading to better patient outcomes in neurological rehabilitation.
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Affiliation(s)
- Lucas Gerez
- ARARA Lab, James Watt School of Engineering, University of Glasgow, Glasgow, UK
| | - Silvestro Micera
- The Biorobotics Institute and Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, Pisa
- Modular Implantable Neuroprostheses (MINE) Laboratory, Università Vita-Salute San Raffaele & Scuola Superiore Sant'Anna, Milan, Italy
- Bertarelli Foundation Chair in Translational Neuroengineering, Centre for Neuroprosthetics and Institute of Bioengineering, School of Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Richard Nuckols
- Department of Mechanical & Industrial Engineering, Francis College of Engineering, University of Massachusetts Lowell, Lowell, Massachusetts, USA
| | - Tommaso Proietti
- The Biorobotics Institute and Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, Pisa
- Modular Implantable Neuroprostheses (MINE) Laboratory, Università Vita-Salute San Raffaele & Scuola Superiore Sant'Anna, Milan, Italy
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MacNeil M, Hirslund E, Baiocco-Romano L, Kuspinar A, Stolee P. A scoping review of the use of intelligent assistive technologies in rehabilitation practice with older adults. Disabil Rehabil Assist Technol 2024; 19:1817-1848. [PMID: 37498115 DOI: 10.1080/17483107.2023.2239277] [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: 09/01/2022] [Revised: 05/30/2023] [Accepted: 07/17/2023] [Indexed: 07/28/2023]
Abstract
PURPOSE There is growing interest in intelligent assistive technologies (IATs) in the rehabilitation and support of older adults, however, the factors contributing to or preventing their use in practice are not well understood. This study aimed to develop an overview of current knowledge on barriers and facilitators to the use of smart technologies in rehabilitative practice with older adults. MATERIALS AND METHODS We undertook a scoping review following guidelines proposed by Arksey and O'Malley (2005) and Levac et al. (2010). A computerised literature search was conducted using the Scopus and Ovid databases, yielding 7995 citations. Of these, 94 studies met inclusion criteria. Analysis of extracted data identified themes which were explored in semi-structured interviews with a purposefully selected sample of seven clinical rehabilitation practitioners (three physical therapists, two occupational therapists, and two speech-language pathologists). RESULTS Barriers and facilitators to using these technologies were associated with accessibility, reported effectiveness, usability, patient-centred considerations, and staff considerations. CONCLUSIONS Collaborative efforts of policy-makers, researchers, manufacturers, rehabilitation professionals, and older persons are needed to improve the design of technologies, develop appropriate funding and reimbursement strategies, and minimise barriers to their appropriate use to support independence and quality of life. Any strategies to improve upon barriers to prescribing smart technologies for older people should leverage the expertise of rehabilitation professionals operating at the interface between older people; their health/mobility; their families; and technology-based solutions.
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Affiliation(s)
- Maggie MacNeil
- School of Nursing, McMaster University, Hamilton, Canada
| | - Emily Hirslund
- School of Public Health Sciences, University of Waterloo, Waterloo, Canada
| | | | - Ayse Kuspinar
- School of Rehabilitation Science, McMaster University, Hamilton, Canada
| | - Paul Stolee
- School of Public Health Sciences, University of Waterloo, Waterloo, Canada
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Jiryaei Z, Jafarpisheh AS. The usefulness of assistive soft robotics in the rehabilitation of patients with hand impairment: A systematic review. J Bodyw Mov Ther 2024; 39:398-409. [PMID: 38876658 DOI: 10.1016/j.jbmt.2024.02.025] [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: 03/30/2023] [Revised: 11/29/2023] [Accepted: 02/25/2024] [Indexed: 06/16/2024]
Abstract
INTRODUCTION Loss of hand function causes severe limitations in activity in daily living. The hand-soft robot is one of the methods that has recently been growing to increase the patient's independence. The purpose of the present systematic review was to provide a classification, a comparison, and a design overview of mechanisms and the efficacy of the soft hand robots to help researchers approach this field. METHODS The literature research regarding such tools was conducted in PubMed, Google Scholar, Science Direct, and Cochrane Central Register for Controlled Trials. We included peer-reviewed studies that considered a soft robot glove as an assistive device to provide function. The two investigators screened the titles and abstracts, then independently reviewed the full-text articles. Disagreements about inclusion were resolved by consensus or a third reviewer. RESULTS A total of 15 articles were identified, describing 210 participants (23 healthy subjects). The tools were in three categories according to their actuation type (pneumatic system, cable-driven, another design). The most critical outcomes in studies included functional tasks (fourteen studies), grip strength (four studies), range of motion (ROM) (five studies), and user satisfaction (five studies). DISCUSSION Function and grip parameters are the most common critical parameters for tests of hand robots. Cable-driven transmission and soft pneumatic actuators are the most common choices for the actuation unit. Radder et al. study had the highest grade from other studies. That was the only RCT among studies. CONCLUSION Although few soft robotic gloves can be considered ready to reach the market, it seems these tools have the potential to be practical for people with a disability. But, we lack consistent evidence of comparing two or more soft robot gloves on the hand functions. Future research needs to assess the effect of soft robotic gloves on people with hand disorders with more populations.
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Affiliation(s)
- Zahra Jiryaei
- Rehabilitation Research Center, Department of Orthotics and Prosthetics, School of Rehabilitation Sciences, Iran University of Medical Science, Tehran, Iran
| | - Amir Salar Jafarpisheh
- Department of Ergonomics, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
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Luo S, Meng Q, Li S, Yu H. Research of intent recognition in rehabilitation robots: a systematic review. Disabil Rehabil Assist Technol 2024; 19:1307-1318. [PMID: 36695473 DOI: 10.1080/17483107.2023.2170477] [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: 03/21/2022] [Revised: 01/10/2023] [Accepted: 01/16/2023] [Indexed: 01/26/2023]
Abstract
PURPOSE Rehabilitation robots with intent recognition are helping people with dysfunction to enjoy better lives. Many rehabilitation robots with intent recognition have been developed by academic institutions and commercial companies. However, there is no systematic summary about the application of intent recognition in the field of rehabilitation robots. Therefore, the purpose of this paper is to summarize the application of intent recognition in rehabilitation robots, analyze the current status of their research, and provide cutting-edge research directions for colleagues. MATERIALS AND METHODS Literature searches were conducted on Web of Science, IEEE Xplore, ScienceDirect, SpringerLink, and Medline. Search terms included "rehabilitation robot", "intent recognition", "exoskeleton", "prosthesis", "surface electromyography (sEMG)" and "electroencephalogram (EEG)". References listed in relevant literature were further screened according to inclusion and exclusion criteria. RESULTS In this field, most studies have recognized movement intent by kinematic, sEMG, and EEG signals. However, in practical studies, the development of intent recognition in rehabilitation robots is limited by the hysteresis of kinematic signals and the weak anti-interference ability of sEMG and EEG signals. CONCLUSIONS Intent recognition has achieved a lot in the field of rehabilitation robotics but the key factors limiting its development are still timeliness and accuracy. In the future, intent recognition strategy with multi-sensor information fusion may be a good solution.
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Affiliation(s)
- Shengli Luo
- Institute of Rehabilitation Engineering and Technology, University of Shanghai for Science and Technology, Shanghai, China
| | | | - Sujiao Li
- Institute of Rehabilitation Engineering and Technology, University of Shanghai for Science and Technology, Shanghai, China
| | - Hongliu Yu
- Institute of Rehabilitation Engineering and Technology, University of Shanghai for Science and Technology, Shanghai, China
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Park CB, Hwang JS, Gong HS, Park HS. A Lightweight Dynamic Hand Orthosis With Sequential Joint Flexion Movement for Postoperative Rehabilitation of Flexor Tendon Repair Surgery. IEEE Trans Neural Syst Rehabil Eng 2024; 32:994-1004. [PMID: 38376979 DOI: 10.1109/tnsre.2024.3367990] [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: 02/22/2024]
Abstract
During the postoperative hand rehabilitation period, it is recommended that the repaired flexor tendons be continuously glided with sufficient tendon excursion and carefully managed protection to prevent adhesion with adjacent tissues. Thus, finger joints should be passively mobilized through a wide range of motion (ROM) with physiotherapy. During passive mobilization, sequential flexion of the metacarpophalangeal (MCP) joint followed by the proximal interphalangeal (PIP) joint is recommended for maximizing tendon excursion. This paper presents a lightweight device for postoperative flexor tendon rehabilitation that uses a single motor to achieve sequential joint flexion movement. The device consists of an orthosis, a cable, and a single motor. The degree of spatial stiffness and cable path of the orthosis were designed to apply a flexion moment to the MCP joint prior to the PIP joint. The device was tested on both healthy individuals and a patient who had undergone flexor tendon repair surgery, and both flexion and extension movement could be achieved with a wide ROM and sequential joint flexion movement using a single motor.
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Kuo LC, Yang KC, Lin YC, Lin YC, Yeh CH, Su FC, Hsu HY. Internet of Things (IoT) Enables Robot-Assisted Therapy as a Home Program for Training Upper Limb Functions in Chronic Stroke: A Randomized Control Crossover Study. Arch Phys Med Rehabil 2023; 104:363-371. [PMID: 36122608 DOI: 10.1016/j.apmr.2022.08.976] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 08/18/2022] [Accepted: 08/31/2022] [Indexed: 11/02/2022]
Abstract
OBJECTIVE To compare the effects of using an Internet of things (IoT)-assisted tenodesis-induced-grip exoskeleton robot (TIGER) and task-specific motor training (TSMT) as home programs for the upper-limb (UL) functions of patients with chronic stroke to overturn conventional treatment modes for stroke rehabilitation. DESIGN A randomized 2-period crossover study. SETTING A university hospital. PARTICIPANTS Eighteen chronic stroke patients were recruited and randomized to receive either the IoT-assisted TIGER first or TSMT first at the beginning of the experiment (N=18). INTERVENTION In addition to the standard hospital-based therapy, participants were allocated to receive a 30-minute home-based, self-administered program of either IoT-assisted TIGER first or TSMT first twice daily for 4 weeks, with the order of both treatments reversed after a 12-week washout period. The exercise mode of the TIGER training included continuous passive motion and the functional mode of gripping pegs. The TSMT involved various movement components of the wrist and hand. MAIN OUTCOME MEASURES The outcome measures included the box and block test (BBT), the Fugl-Meyer assessment for upper extremity (FMA-UE), the motor activity log, the Semmes-Weinstein Monofilament test, the range of motion (ROM) of the wrist joint, and the modified Ashworth scale. RESULTS Significant treatment-by-time interaction effects emerged in the results for the BBT (F(1.31)=5.212 and P=.022), the FMA-UE (F(1.31)=6.807 and P=.042), and the ROM of the wrist extension (F(1.31)=8.618 and P=.009). The participants who trained at home with the IoT-assisted TIGER showed more improvement of their UL functions. CONCLUSIONS The IoT-assisted TIGER training has the potential for restoring the UL functions of stroke patients.
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Affiliation(s)
- Li-Chieh Kuo
- Department of Occupational Therapy, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Medical Device Innovation Center, National Cheng Kung University, Tainan, Taiwan; Department of Physical Medicine and Rehabilitation, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Biomedical Engineering, College of Engineering, National Cheng Kung University, Tainan, Taiwan
| | - Kang-Chin Yang
- Medical Device Innovation Center, National Cheng Kung University, Tainan, Taiwan
| | - Yu-Ching Lin
- Department of Physical Medicine and Rehabilitation, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Physical Medicine and Rehabilitation, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Yu-Chen Lin
- Department of Occupational Therapy, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Occupational Therapy, Da-Yeh University, Changhua, Taiwan.
| | - Chien-Hsien Yeh
- Medical Device Innovation Center, National Cheng Kung University, Tainan, Taiwan
| | - Fong-Chin Su
- Medical Device Innovation Center, National Cheng Kung University, Tainan, Taiwan; Department of Biomedical Engineering, College of Engineering, National Cheng Kung University, Tainan, Taiwan
| | - Hsiu-Yun Hsu
- Department of Occupational Therapy, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Physical Medicine and Rehabilitation, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
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Abdelhafiz MH, Andreasen Struijk LNS, Dosen S, Spaich EG. Biomimetic Tendon-Based Mechanism for Finger Flexion and Extension in a Soft Hand Exoskeleton: Design and Experimental Assessment. SENSORS (BASEL, SWITZERLAND) 2023; 23:2272. [PMID: 36850871 PMCID: PMC9960426 DOI: 10.3390/s23042272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 02/05/2023] [Accepted: 02/13/2023] [Indexed: 06/18/2023]
Abstract
This study proposes a bioinspired exotendon routing configuration for a tendon-based mechanism to provide finger flexion and extension that utilizes a single motor to reduce the complexity of the system. The configuration was primarily inspired by the extrinsic muscle-tendon units of the human musculoskeletal system. The function of the intrinsic muscle-tendon units was partially compensated by adding a minor modification to the configuration of the extrinsic units. The finger kinematics produced by this solution during flexion and extension were experimentally evaluated on an artificial finger and compared to that obtained using the traditional mechanism, where one exotendon was inserted at the distal phalanx. The experiments were conducted on nine healthy subjects who wore a soft exoskeleton glove equipped with the novel tendon mechanism. Contrary to the traditional approach, the proposed mechanism successfully prevented the hyperextension of the distal interphalangeal (DIP) and the metacarpophalangeal (MCP) joints. During flexion, the DIP joint angles produced by the novel mechanism were smaller than the angles generated by the traditional approach for the same proximal interphalangeal (PIP) joint angles. This provided a flexion trajectory closer to the voluntary flexion motion and avoided straining the interphalangeal coupling between the DIP and PIP joints. Finally, the proposed solution generated similar trajectories when applied to a stiff artificial finger (simulating spasticity). The results, therefore, demonstrate that the proposed approach is indeed an effective solution for the envisioned soft hand exoskeleton system.
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Affiliation(s)
- Mohamed H. Abdelhafiz
- Neurorehabilitation Systems Group, Department of Health Science and Technology, Aalborg University, 9260 Gistrup, Denmark
| | - Lotte N. S. Andreasen Struijk
- Neurorehabilitation Robotics and Engineering Group, Center for Rehabilitation Robotics, Department of Health Science and Technology, Aalborg University, 9260 Gistrup, Denmark
| | - Strahinja Dosen
- Neurorehabilitation Systems Group, Department of Health Science and Technology, Aalborg University, 9260 Gistrup, Denmark
| | - Erika G. Spaich
- Neurorehabilitation Systems Group, Department of Health Science and Technology, Aalborg University, 9260 Gistrup, Denmark
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Park CB, Park HS. Portable 3D-printed hand orthosis with spatial stiffness distribution personalized for assisting grasping in daily living. Front Bioeng Biotechnol 2023; 11:895745. [PMID: 36815899 PMCID: PMC9932545 DOI: 10.3389/fbioe.2023.895745] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 01/20/2023] [Indexed: 02/05/2023] Open
Abstract
Stroke survivors having limited finger coordination require an active hand orthosis to assist them with grasping tasks for daily activities. The orthosis should be portable for constant use; however, portability imposes constraints on the number, size, and weight of the actuators, which increase the difficulty of the design process. Therefore, a tradeoff exists between portability and the assistive force. In this study, a personalized spatial stiffness distribution design is presented for a portable and strengthful hand orthosis. The spatial stiffness distribution of the orthosis was optimized based on measurements of individual hand parameters to satisfy the functional requirements of achieving sufficient grip aperture in the pre-grasping phase and minimal assistive force in the grasping phase. Ten stroke survivors were recruited to evaluate the system. Sufficient grip aperture and high grip strength-to-weight ratio were achieved by the orthosis via a single motor. Moreover, the orthosis significantly restored the range of motion and improved the performance of daily activities. The proposed spatial stiffness distribution can suggest a design solution to make strengthful hand orthoses with reduced weight.
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Affiliation(s)
| | - Hyung-Soon Park
- Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea
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Masengo G, Zhang X, Dong R, Alhassan AB, Hamza K, Mudaheranwa E. Lower limb exoskeleton robot and its cooperative control: A review, trends, and challenges for future research. Front Neurorobot 2023; 16:913748. [PMID: 36714152 PMCID: PMC9875327 DOI: 10.3389/fnbot.2022.913748] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 12/19/2022] [Indexed: 01/12/2023] Open
Abstract
Effective control of an exoskeleton robot (ER) using a human-robot interface is crucial for assessing the robot's movements and the force they produce to generate efficient control signals. Interestingly, certain surveys were done to show off cutting-edge exoskeleton robots. The review papers that were previously published have not thoroughly examined the control strategy, which is a crucial component of automating exoskeleton systems. As a result, this review focuses on examining the most recent developments and problems associated with exoskeleton control systems, particularly during the last few years (2017-2022). In addition, the trends and challenges of cooperative control, particularly multi-information fusion, are discussed.
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Affiliation(s)
- Gilbert Masengo
- School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China,Shaanxi Key Laboratory of Intelligent Robot, Xi'an Jiaotong University, Xi'an, China,Department of Mechanical Engineering, Rwanda Polytechnic/Integrated Polytechnic Regional College (IPRC) Karongi, Kigali, Rwanda,*Correspondence: Gilbert Masengo ✉
| | - Xiaodong Zhang
- School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China,Shaanxi Key Laboratory of Intelligent Robot, Xi'an Jiaotong University, Xi'an, China
| | - Runlin Dong
- School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China,Shaanxi Key Laboratory of Intelligent Robot, Xi'an Jiaotong University, Xi'an, China
| | - Ahmad B. Alhassan
- School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China,Shaanxi Key Laboratory of Intelligent Robot, Xi'an Jiaotong University, Xi'an, China
| | - Khaled Hamza
- School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China,Shaanxi Key Laboratory of Intelligent Robot, Xi'an Jiaotong University, Xi'an, China
| | - Emmanuel Mudaheranwa
- Department of Mechanical Engineering, Rwanda Polytechnic/Integrated Polytechnic Regional College (IPRC) Karongi, Kigali, Rwanda,Department of Engineering, Cardiff University, Cardiff, United Kingdom
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Muthu P, Tan Y, Latha S, Dhanalakshmi S, Lai KW, Wu X. Discernment on assistive technology for the care and support requirements of older adults and differently-abled individuals. Front Public Health 2023; 10:1030656. [PMID: 36699937 PMCID: PMC9869388 DOI: 10.3389/fpubh.2022.1030656] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 12/06/2022] [Indexed: 01/12/2023] Open
Abstract
Assistive technology for the differently abled and older adults has made remarkable achievements in providing rehabilitative, adaptive, and assistive devices. It provides huge assistance for people with physical impairments to lead a better self-reliant daily life, in terms of mobility, education, rehabilitation, etc. This technology ranges from simple hand-held devices to complex robotic accessories which promote the individual's independence. This study aimed at identifying the assistance required by differently-abled individuals, and the solutions proposed by different researchers, and reviewed their merits and demerits. It provides a detailed discussion on the state of art assistive technologies, their applications, challenges, types, and their usage for rehabilitation. The study also identifies different unexplored research areas related to assistive technology that can improve the daily life of individuals and advance the field. Despite their high usage, assistive technologies have some limitations which have been briefly described in the study. This review, therefore, can help understand the utilization, and pros and cons of assistive devices in rehabilitation engineering and assistive technologies.
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Affiliation(s)
- P. Muthu
- Department of Biomedical Engineering, SRM Institute of Science and Technology, Chennai, India
| | - Yongqi Tan
- The 71st Group Military Hospital of the Chinese People's Liberation Army, Xuzhou, Jiangsu, China
| | - S. Latha
- Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Chennai, India
| | - Samiappan Dhanalakshmi
- Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Chennai, India,*Correspondence: Samiappan Dhanalakshmi ✉
| | - Khin Wee Lai
- Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia,Khin Wee Lai ✉
| | - Xiang Wu
- School of Medical Information Engineering, Xuzhou Medical University, Xuzhou, China,Xiang Wu ✉
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Yurkewich A, Ortega S, Sanchez J, Wang RH, Burdet E. Integrating hand exoskeletons into goal-oriented clinic and home stroke and spinal cord injury rehabilitation. J Rehabil Assist Technol Eng 2022; 9:20556683221130970. [PMID: 36212185 PMCID: PMC9535266 DOI: 10.1177/20556683221130970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 09/20/2022] [Indexed: 11/07/2022] Open
Abstract
Introduction Robotic exoskeletons are emerging as rehabilitation and assistive
technologies that simultaneously restore function and enable independence
for people with disabilities. Aim We investigated the feasibility and orthotic and restorative effects of an
exoskeleton-supported goal-directed rehabilitation program for people with
hand impairments after stroke or Spinal Cord Injury (SCI). Method A single-arm case-series feasibility study was conducted using a wearable
untethered hand exoskeleton during goal-directed therapy programs with
in-clinic and at-home components. Therapists trained stroke and SCI patients
to use a hand exoskeleton during rehabilitation exercises, activities of
daily living and patient-selected goals. Each patient received a 1-hour
in-clinic training session on five consecutive days, then took the
exoskeleton home for two consecutive days to perform therapist-recommended
tasks. Goal Attainment Scaling (GAS) and the Box and Block Test (BBT) were
administered at baseline, after in-clinic
therapy and after home use, with and again without wearing
the exoskeleton. The System Usability Scale (SUS), Motor Activity Log, and
Fugl-Meyer Assessment were also administered to assess the intervention’s
acceptability, adherence, usability and effectiveness. Results Four stroke patients (Chedoke McMaster Stage of Hand 2–4) and one SCI patient
(ASIA C8 Motor Stage 1) 23 ± 19 months post-injury wore the hand exoskeleton
to perform 280 ± 23 exercise repetitions in the clinic and additional
goal-oriented tasks at home. The patients performed their own goals and the
dexterity task with higher performance following the 7-days therapy program
in comparison to baseline for both exoskeleton-assisted (ΔGAS: 18 ± 10,
ΔBBT: 1 ± 5) and unassisted (ΔGAS: 14 ± 14, ΔBBT: 3 ± 4) assessments.
Therapists and patients provided ‘good’ SUS ratings of 78 ± 6 and no harmful
events were reported. Conclusions The exoskeleton-supported stroke and SCI therapy program with in-clinic and
at-home training components was feasible.
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Affiliation(s)
- Aaron Yurkewich
- Bioengineering Department, Imperial College of Science
Technology and Medicine, London UK,Aaron Yurkewich, MESc, Institute of
Biomaterials and Biomedical Engineering, University of Toronto, Room 407,
Rosebrugh Bldg, 164 College St, Toronto, ON M5S 3G9, Canada.
| | - Sara Ortega
- Occupational Therapy, Centro Europeo de
Neurociencias, Madrid, Spain
| | - José Sanchez
- Occupational Therapy, Centro Europeo de
Neurociencias, Madrid, Spain
| | - Rosalie H Wang
- Occupational Science and
Occupational Therapy, University of Toronto, Toronto, ON, Canada
| | - Etienne Burdet
- Bioengineering Department, Imperial College of Science
Technology and Medicine, London UK
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13
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Han Y, Xu Q, Wu F. Design of Wearable Hand Rehabilitation Glove With Bionic Fiber-Reinforced Actuator. IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE 2022; 10:2100610. [PMID: 35992370 PMCID: PMC9384960 DOI: 10.1109/jtehm.2022.3196491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 06/22/2022] [Accepted: 07/28/2022] [Indexed: 11/14/2022]
Abstract
Background: The hand motor function is lost and activities in daily life (ADLs) are affected due to some illnesses such as stroke and hemiplegia. As a coping way, we present a wearable rehabilitation glove with the bionic actuator for restoring the hand function and the motor control ability lost by stroke patients. Methods: The soft pneumatic bionic actuator (SPBA) is developed on the basis of the research of human hand bone structure and finger joint characteristics and a series of tests are conducted. Besides, we built the rehabilitation glove system based on the proposed SPBAs to verify the availability due to typical gesture, mirror therapy (MT) and grasping experiment for irregular objects. Result: The bending angle of SPBA can reach 260°. The output force of it can reach 5.1N with 0.25 MPa air pressure input. The maximum variance of the bending angle can be concluded at 5.1° in MT. The grasping experiments of the glove worn on the hand or not shows the proposed glove is flexible, the grip force is large and achieve stable grasping of objects. Conclusion: The designed SPBA is satisfied with the requirements of rehabilitation training and the proposed glove restore the normal hand motion of patients in ADLs.
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Affiliation(s)
- Yali Han
- School of Mechanical Engineering, Nanjing Institute of Technology, Nanjing, China
| | - Quan Xu
- School of Mechanical Engineering, Nanjing Institute of Technology, Nanjing, China
| | - Feng Wu
- School of Mechanical Engineering, Nanjing Institute of Technology, Nanjing, China
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14
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Xie C, Yang Q, Huang Y, Su S, Xu T, Song R. A Hybrid Arm-Hand Rehabilitation Robot With EMG-Based Admittance Controller. IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS 2021; 15:1332-1342. [PMID: 34813476 DOI: 10.1109/tbcas.2021.3130090] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Reach-and-grasp is one of the most fundamental activities in daily life, while few rehabilitation robots provide integrated and active training of the arm and hand for patients after stroke to improve their mobility. In this study, a novel hybrid arm-hand rehabilitation robot (HAHRR) was built for the reach-and-grasp task. This hybrid structure consisted of a cable-driven module for three-dimensional arm motion and an exoskeleton for hand motion, which enabled assistance of the arm and hand simultaneously. To implement active compliance control, an EMG-based admittance controller was applied to the HAHRR. Experimental results showed that the HAHRR with the EMG-based admittance controller could not only assist the subject in fulfilling the reach-and-grasp task, but also generate smoother trajectories compared with the force-sensing-based admittance controller. These findings also suggested that the proposed approach might be applicable to post-stroke arm-hand rehabilitation training.
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15
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Sun N, Li G, Cheng L. Design and Validation of a Self-Aligning Index Finger Exoskeleton for Post-Stroke Rehabilitation. IEEE Trans Neural Syst Rehabil Eng 2021; 29:1513-1523. [PMID: 34270428 DOI: 10.1109/tnsre.2021.3097888] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Rehabilitation of hand functions is necessary to improve post-stroke patients' quality of life. There is initial evidence that hand exoskeletons should exercise flexion/extension (f/e) and abduction/adduction (a/a) of the fingers to rebuild hand functions. However, designing a self-alignment mechanism of the metacarpophalangeal (MCP) joint to improve its wearing comfort is still a challenge. In this paper, a novel index finger exoskeleton with three motors is proposed to help post-stroke patients perform finger a/a and f/e training. A spatial mechanism with passive degrees of freedom for the MCP joint is designed to realize human-robot axes self-alignment. The proposed mechanism's kinematic compatibility is analyzed to show its self-aligning capability, and the kineto-statics analysis is performed to present the exoskeleton's static characteristics. Finally, kinematic and static experiments have been conducted, and the results indicate that the standardized reaction forces square sum of the exoskeleton to the MCP joint can be reduced by 65.8% compared with the state-of-the-art exoskeleton. According to the experimental results, the exoskeleton can achieve the a/a and f/e training and human-robot axes self-alignment, and improve its comfortability. In the future, clinical trials will be further studied to test the exoskeleton.
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16
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Akbari A, Haghverd F, Behbahani S. Robotic Home-Based Rehabilitation Systems Design: From a Literature Review to a Conceptual Framework for Community-Based Remote Therapy During COVID-19 Pandemic. Front Robot AI 2021; 8:612331. [PMID: 34239898 PMCID: PMC8258116 DOI: 10.3389/frobt.2021.612331] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 06/01/2021] [Indexed: 01/24/2023] Open
Abstract
During the COVID-19 pandemic, the higher susceptibility of post-stroke patients to infection calls for extra safety precautions. Despite the imposed restrictions, early neurorehabilitation cannot be postponed due to its paramount importance for improving motor and functional recovery chances. Utilizing accessible state-of-the-art technologies, home-based rehabilitation devices are proposed as a sustainable solution in the current crisis. In this paper, a comprehensive review on developed home-based rehabilitation technologies of the last 10 years (2011-2020), categorizing them into upper and lower limb devices and considering both commercialized and state-of-the-art realms. Mechatronic, control, and software aspects of the system are discussed to provide a classified roadmap for home-based systems development. Subsequently, a conceptual framework on the development of smart and intelligent community-based home rehabilitation systems based on novel mechatronic technologies is proposed. In this framework, each rehabilitation device acts as an agent in the network, using the internet of things (IoT) technologies, which facilitates learning from the recorded data of the other agents, as well as the tele-supervision of the treatment by an expert. The presented design paradigm based on the above-mentioned leading technologies could lead to the development of promising home rehabilitation systems, which encourage stroke survivors to engage in under-supervised or unsupervised therapeutic activities.
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Affiliation(s)
| | | | - Saeed Behbahani
- Department of Mechanical Engineering, Isfahan University of Technology, Isfahan, Iran
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17
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He P, Kantu NT, Xu B, Swami CP, Saleem GT, Kang J. A Novel 3-RRR Spherical Parallel Instrument for Daily Living Emulation (SPINDLE) for Functional Rehabilitation of Patients with Stroke. INT J ADV ROBOT SYST 2021. [DOI: 10.1177/17298814211012325] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Various robotic rehabilitation devices have been developed for acute stroke patients to ease therapist’s efforts and provide high-intensity training, which resulted in improved strength and functional recovery of patients; however, these improvements did not always transfer to the performance of activities of daily living (ADLs). This is because previous robotic training focuses on the proximal joints or training with exoskeleton-type devices, which do not reflect how humans interact with the environment. To improve the training effect of ADLs, a new robotic training paradigm is suggested with a parallel manipulator that mimics rotational ADL tasks. This study presents training of the proximal and distal joints simultaneously while performing manipulation tasks in a device named spherical parallel instrument for daily living emulation (SPINDLE). Six representative ADLs were chosen to show that both proximal and distal joints are trained when performing tasks with SPINDLE, as compared to the natural ADLs. These results show that SPINDLE can train individuals with movements similar to the ADLs while interacting with the manipulator. We envision using this compact tabletop device as a home-training device to increase the performance of ADLs by restoring the impaired motor function of stroke patients, leading to improved quality of life.
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Affiliation(s)
- Peidong He
- Mechanical and Aerospace Engineering, University at Buffalo, Buffalo, NY, USA
| | - Nikhil Tej Kantu
- Mechanical and Aerospace Engineering, University at Buffalo, Buffalo, NY, USA
| | - Boxin Xu
- Mechanical and Aerospace Engineering, University at Buffalo, Buffalo, NY, USA
| | | | | | - Jiyeon Kang
- Mechanical and Aerospace Engineering, University at Buffalo, Buffalo, NY, USA
- Rehabilitation Science, University at Buffalo, Buffalo, NY, USA
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18
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Alicea R, Xiloyannis M, Chiaradia D, Barsotti M, Frisoli A, Masia L. A soft, synergy-based robotic glove for grasping assistance. WEARABLE TECHNOLOGIES 2021; 2:e4. [PMID: 38486631 PMCID: PMC10936321 DOI: 10.1017/wtc.2021.3] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 01/18/2021] [Accepted: 02/18/2021] [Indexed: 03/17/2024]
Abstract
This paper presents a soft, tendon-driven, robotic glove designed to augment grasp capability and provide rehabilitation assistance for postspinal cord injury patients. The basis of the design is an underactuation approach utilizing postural synergies of the hand to support a large variety of grasps with a single actuator. The glove is lightweight, easy to don, and generates sufficient hand closing force to assist with activities of daily living. Device efficiency was examined through a characterization of the power transmission elements, and output force production was observed to be linear in both cylindrical and pinch grasp configurations. We further show that, as a result of the synergy-inspired actuation strategy, the glove only slightly alters the distribution of forces across the fingers, compared to a natural, unassisted grasping pattern. Finally, a preliminary case study was conducted using a participant suffering from an incomplete spinal cord injury (C7). It was found that through the use of the glove, the participant was able to achieve a 50% performance improvement (from four to six blocks) in a standard Box and Block test.
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Affiliation(s)
- Ryan Alicea
- Assistive Robotics and Interactive ExoSuits (ARIES) Lab, Institute for Computer Engineering (ZITI), Heidelberg University, Heidelberg, Germany
| | - Michele Xiloyannis
- Sensory-Motor Systems (SMS) Lab, Institute of Robotics and Intelligent Systems (IRIS), ETH Zurich, Zurich, Switzerland
- The Spinal Cord Injury Center, University Hospital Balgrist, University of Zurich, Zurich, Switzerland
| | - Domenico Chiaradia
- Perceptual Robotics (PERCRO) Laboratory, TeCIP Institute, Scuola Superiore Sant’Anna, Pisa, Italy
| | - Michele Barsotti
- Perceptual Robotics (PERCRO) Laboratory, TeCIP Institute, Scuola Superiore Sant’Anna, Pisa, Italy
| | - Antonio Frisoli
- Perceptual Robotics (PERCRO) Laboratory, TeCIP Institute, Scuola Superiore Sant’Anna, Pisa, Italy
| | - Lorenzo Masia
- Assistive Robotics and Interactive ExoSuits (ARIES) Lab, Institute for Computer Engineering (ZITI), Heidelberg University, Heidelberg, Germany
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19
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Khalid S, Alnajjar F, Gochoo M, Renawi A, Shimoda S. Robotic assistive and rehabilitation devices leading to motor recovery in upper limb: a systematic review. Disabil Rehabil Assist Technol 2021:1-15. [PMID: 33861684 DOI: 10.1080/17483107.2021.1906960] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
PURPOSE Stroke, spinal cord injury and other neuromuscular disorders lead to impairments in the human body. Upper limb impairments, especially hand impairments affect activities of daily living (ADL) and reduce the quality of life. The purpose of this review is to compare and evaluate the available robotic rehabilitation and assistive devices that can lead to motor recovery or maintain the current motor functional level. METHODS A systematic review was conducted of the literature published in the years from 2016-2021, to focus on the most recent rehabilitation and assistive devices available in the market or research environments. RESULTS A total of 230 studies published between 2016 and 2021 were identified from various databases. 107 were excluded with various reasons. Twenty-eight studies were taken into detailed review, to determine the efficacy of robotic devices in improving upper limb impairments or maintaining the current level from getting worse. CONCLUSION It was concluded that with a good strategy and treatment plan; appropriate and regular use of these robotic rehabilitation and assistive devices do lead to improvements in current conditions of most of the subjects and prolonged use may lead to motor recovery.Implications for RehabilitationStroke, accidents, spinal cord injuries and other neuromuscular disorders lead to impairments. Upper limb impairments have a tremendous adverse affect on ADL and reduces quality of life drastically.Advancement in technology has led to the designing of many robotic assistive and rehabilitation devices to assist in motor recovery or aid in ADL.This review analyses different available devices for rehabilitation and assistance and points out that use of these devices in time does help in motor recovery. Most of the studies reviewed showed improvements for the user.Future devices should be more portable and easier to use from home.
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Affiliation(s)
- Sumayya Khalid
- College of Information Technology, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Fady Alnajjar
- College of Information Technology, United Arab Emirates University, Al Ain, United Arab Emirates.,Intelligent Behavior Control Unit, CBS-TOYOTA Collaboration Center, RIKEN, Nagoya, Japan
| | - Munkhjargal Gochoo
- College of Information Technology, United Arab Emirates University, Al Ain, United Arab Emirates.,School of Information and Communication Technology, Ulaanbaatar, Mongolia
| | | | - Shingo Shimoda
- Intelligent Behavior Control Unit, CBS-TOYOTA Collaboration Center, RIKEN, Nagoya, Japan
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20
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Feng M, Yang D, Gu G. High-Force Fabric-Based Pneumatic Actuators With Asymmetric Chambers and Interference-Reinforced Structure for Soft Wearable Assistive Gloves. IEEE Robot Autom Lett 2021. [DOI: 10.1109/lra.2021.3062588] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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21
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Zhu Y, Lu W, Gan W, Hou W. A contactless method to measure real-time finger motion using depth-based pose estimation. Comput Biol Med 2021; 131:104282. [PMID: 33631496 DOI: 10.1016/j.compbiomed.2021.104282] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2021] [Revised: 02/11/2021] [Accepted: 02/11/2021] [Indexed: 10/22/2022]
Abstract
BACKGROUND Finger mobility plays a crucial role in everyday living and is a leading indicator during hand rehabilitation and assistance tasks. Depth-based hand pose estimation is a potentially low-cost solution for the clinical and home-based measurement of symptoms of limited human finger motion. OBJECTIVE The purpose of this study was to achieve the contactless measurement of finger motion based on depth-based hand pose estimation using Azure Kinect depth cameras and transfer learning, and to evaluate the accuracy in comparison with a three-dimensional motion analysis (3DMA) system. METHODS Thirty participants performed a series of tasks during which their hand motions were measured concurrently using the Azure Kinect and 3DMA systems. We propose a simple and effective approach to achieving real-time hand pose estimations from single depth images using ensemble convolutional neural networks trained by a transfer learning strategy. Algorithms to calculate the finger joint motion angles are presented by tracking the locations of the 24 hand joints. To demonstrate their potential, the Azure-Kinect-based 3D finger motion measurement system and algorithms are experimentally verified through comparison with a camera-based 3DMA system, which is the gold standard. RESULTS Our results revealed that the Azure-Kinect-based hand pose estimation system produced highly correlated measurements of hand joint coordinates. Our method achieved excellent performance in terms of the fraction of good frames ( >80%) when the error thresholds were larger than approximately 2 cm, and the range of mean error distance was 0.23--1.05 cm. For joint angles, the Azure Kinect and 3DMA systems had comparable inter-trial reliability (ICC2,1 ranging from 0.89 to 0.97) and excellent concurrent validity, with Pearsons r-values >0.90 for most measurements (range: 0.88--0.97). The 95% BlandAltman limits of agreement were narrow enough for the Azure Kinect to be considered a valid tool for the measurement of all reported joint angles of the index finger and thumb in pinching. Moreover, our method runs in real time at over 45 fps. CONCLUSION The results of this study suggest that the proposed method has the capacity to measure the performance of fine motor skills.
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Affiliation(s)
- Yean Zhu
- Bioengineering College of Chongqing University, Chongqing, China; School of Transportation and Logistics, East China Jiaotong University, Nanchang, China.
| | - Wei Lu
- Department of Rehabilitation Medicine, Jiangxi Provincial Peoples Hospital, Nanchang, China.
| | - Weihua Gan
- School of Transportation and Logistics, East China Jiaotong University, Nanchang, China.
| | - Wensheng Hou
- Bioengineering College of Chongqing University, Chongqing, China; Key Laboratory of Biorheological Science and Technology of Ministry of Education, Chongqing University, Chongqing, China.
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22
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TAŞAR BEYDA, TATAR AHMETBURAK, TANYILDIZI ALPERKADIR, YAKUT OGUZ. DESIGN, DYNAMIC MODELING AND CONTROL OF WEARABLE FINGER ORTHOSIS. J MECH MED BIOL 2021. [DOI: 10.1142/s0219519421500068] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Human hands and fingers are of significant importance in people’s capacity to perform daily tasks (touching, feeling, holding, gripping, writing). However, about 1.5 million people around the world are suffering from injuries, muscle and neurological disorders, a loss of hand function, or a few fingers due to stroke. This paper focuses on newly developed finger orthotics, which is thin, adaptable to the length of each finger and low energy costs. The aim of the study is to design and control a new robotic orthosis using for daily rehabilitation therapy. Kinematic and dynamic analysis of orthosis was calculated and the joint regulation of orthosis was obtained. The Lagrange method was used to obtain dynamics, and the Denavit–Hartenberg (D–H) method was used for kinematic analysis of hand. In order to understand its behavior, the robotic finger orthotics model was simulated in MatLab/Simulink. The simulation results show that the efficiency and robustness of proportional integral derivative (PID) controller are appropriate for the use of robotic finger orthotics.
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Affiliation(s)
- BEYDA TAŞAR
- Department of Mechatronics Engineering, Faculty of Engineering, Firat University, Elazig, Turkey
| | - AHMET BURAK TATAR
- Department of Mechatronics Engineering, Faculty of Engineering, Firat University, Elazig, Turkey
| | - ALPER KADIR TANYILDIZI
- Department of Mechatronics Engineering, Faculty of Engineering, Firat University, Elazig, Turkey
| | - OGUZ YAKUT
- Department of Mechatronics Engineering, Faculty of Engineering, Firat University, Elazig, Turkey
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23
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Yurkewich A, Kozak IJ, Ivanovic A, Rossos D, Wang RH, Hebert D, Mihailidis A. Myoelectric untethered robotic glove enhances hand function and performance on daily living tasks after stroke. J Rehabil Assist Technol Eng 2020; 7:2055668320964050. [PMID: 33403121 PMCID: PMC7745545 DOI: 10.1177/2055668320964050] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Accepted: 09/02/2020] [Indexed: 02/06/2023] Open
Abstract
Introduction Wearable robots controlled using electromyography could motivate greater use of the affected upper extremity after stroke and enable bimanual activities of daily living to be completed independently. Methods We have developed a myoelectric untethered robotic glove (My-HERO) that provides five-finger extension and grip assistance. Results The myoelectric controller detected the grip and release intents of the 9 participants after stroke with 84.7% accuracy. While using My-HERO, all 9 participants performed better on the Fugl-Meyer Assessment-Hand (8.4 point increase, scale out of 14, p < 0.01) and the Chedoke Arm and Hand Activity Inventory (8.2 point increase, scale out of 91, p < 0.01). Established criteria for clinically meaningful important differences were surpassed for both the hand function and daily living task assessments. The majority of participants provided satisfaction and usability questionnaire scores above 70%. Seven participants desired to use My-HERO in the clinic and at home during their therapy and daily routines. Conclusions People with hand impairment after stroke value that myoelectric untethered robotic gloves enhance their motion and bimanual task performance and motivate them to use their muscles during engaging activities of daily living. They desire to use these gloves daily to enable greater independence and investigate the effects on neuromuscular recovery.
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Affiliation(s)
- Aaron Yurkewich
- Toronto Rehabilitation Institute-KITE, University Health Network, Toronto, Canada.,Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Canada.,Bioengineering, Imperial College London, London, UK
| | - Illya J Kozak
- Toronto Rehabilitation Institute-KITE, University Health Network, Toronto, Canada
| | - Andrei Ivanovic
- Faculty of Applied Science and Engineering, University of Toronto, Toronto, Canada
| | - Daniel Rossos
- Faculty of Applied Science and Engineering, University of Toronto, Toronto, Canada
| | - Rosalie H Wang
- Toronto Rehabilitation Institute-KITE, University Health Network, Toronto, Canada.,Department of Occupational Science and Occupational Therapy, University of Toronto, Toronto, Canada
| | - Debbie Hebert
- Toronto Rehabilitation Institute-KITE, University Health Network, Toronto, Canada.,Department of Occupational Science and Occupational Therapy, University of Toronto, Toronto, Canada
| | - Alex Mihailidis
- Toronto Rehabilitation Institute-KITE, University Health Network, Toronto, Canada.,Department of Occupational Science and Occupational Therapy, University of Toronto, Toronto, Canada
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24
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Park S, Fraser M, Weber LM, Meeker C, Bishop L, Geller D, Stein J, Ciocarlie M. User-Driven Functional Movement Training With a Wearable Hand Robot After Stroke. IEEE Trans Neural Syst Rehabil Eng 2020; 28:2265-2275. [PMID: 32886611 DOI: 10.1109/tnsre.2020.3021691] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
We studied the performance of a robotic orthosis designed to assist the paretic hand after stroke. It is wearable and fully user-controlled, serving two possible roles: as a therapeutic tool that facilitates device-mediated hand exercises to recover neuromuscular function or as an assistive device for use in everyday activities to aid functional use of the hand. We present the clinical outcomes of a pilot study designed as a feasibility test for these hypotheses. 11 chronic stroke (>2 years) patients with moderate muscle tone (Modified Ashworth Scale ≤ 2 in upper extremity) engaged in a month-long training protocol using the orthosis. Individuals were evaluated using standardized outcome measures, both with and without orthosis assistance. Fugl-Meyer post intervention scores without robotic assistance showed improvement focused specifically at the distal joints of the upper limb, suggesting the use of the orthosis as a rehabilitative device for the hand. Action Research Arm Test scores post intervention with robotic assistance showed that the device may serve an assistive role in grasping tasks. These results highlight the potential for wearable and user-driven robotic hand orthoses to extend the use and training of the affected upper limb after stroke.
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25
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Gasser BW, Martinez A, Sasso-Lance E, Kandilakis C, Durrough CM, Goldfarb M. Preliminary Assessment of a Hand and Arm Exoskeleton for Enabling Bimanual Tasks for Individuals With Hemiparesis. IEEE Trans Neural Syst Rehabil Eng 2020; 28:2214-2223. [PMID: 32822300 DOI: 10.1109/tnsre.2020.3018649] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
The design and preliminary assessment of a semi-powered hand and arm exoskeleton is described. The exoskeleton is designed to enable bimanual activities of daily living for individuals with chronic, upper-limb hemiparesis resulting from stroke. Specifically, the device augments the user's grasp strength and ability to extend the affected hand for bimanual tasks and supplements wrist and elbow stability while conducting these tasks. The exoskeleton is battery-powered and self-contained with all electronics and power units placed within the device structure. A preliminary assessment of the exoskeleton was performed with three subjects having right-sided upper-limb motor deficit resulting from stroke. For subjects with limited hand and arm functionality, the exoskeleton increased grasp strength and improved the ability to perform representative bimanual tasks.
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26
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Waerling RD, Kjaer TW. A systematic review of impairment focussed technology in neurology. Disabil Rehabil Assist Technol 2020; 17:234-247. [DOI: 10.1080/17483107.2020.1776776] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Affiliation(s)
| | - Troels Wesenberg Kjaer
- University of Copenhagen, Denmark
- Department of Neurology, Zealand University Hospital, Denmark
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27
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Correia C, Nuckols K, Wagner D, Zhou YM, Clarke M, Orzel D, Solinsky R, Paganoni S, Walsh CJ. Improving Grasp Function After Spinal Cord Injury With a Soft Robotic Glove. IEEE Trans Neural Syst Rehabil Eng 2020; 28:1407-1415. [DOI: 10.1109/tnsre.2020.2988260] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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28
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Proulx CE, Beaulac M, David M, Deguire C, Haché C, Klug F, Kupnik M, Higgins J, Gagnon DH. Review of the effects of soft robotic gloves for activity-based rehabilitation in individuals with reduced hand function and manual dexterity following a neurological event. J Rehabil Assist Technol Eng 2020; 7:2055668320918130. [PMID: 32435506 PMCID: PMC7223210 DOI: 10.1177/2055668320918130] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Accepted: 03/17/2020] [Indexed: 12/20/2022] Open
Abstract
Despite limited scientific evidence, there is an increasing interest in soft robotic gloves to optimize hand- and finger-related functional abilities following a neurological event. This review maps evidence on the effects and effectiveness of soft robotic gloves for hand rehabilitation and, whenever possible, patients' satisfaction. A systematized search of the literature was conducted using keywords structured around three areas: technology attributes, anatomy, and rehabilitation. A total of 272 titles, abstracts, and keywords were initially retrieved, and data were extracted out of 13 articles. Six articles investigated the effects of wearing a soft robotic glove and eight studied the effect or effectiveness of an intervention with it. Some statistically significant and meaningful beneficial effects were confirmed with the 29 outcome measures used. Finally, 11 articles also confirmed users' satisfaction with regard to the soft robotic glove, while some articles also noticed an increased engagement in the rehabilitation program with this technology. Despite the heterogeneity across studies, soft robotic gloves stand out as a safe and promising technology to improve hand- and finger-related dexterity and functional performance. However, strengthened evidence of the effects or effectiveness of such devices is needed before their transition from laboratory to clinical practice.
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Affiliation(s)
- Camille E Proulx
- School of Rehabilitation, Université de Montréal, Montréal, Canada.,Center for Interdisciplinary Research in Rehabilitation of Greater Montreal (CRIR), Institut universitaire sur la réadaptation en déficience physique de Montréal, CIUSSS Centre-Sud-de-l'Île-de-Montréal, Montreal, QC, Canada
| | - Myrka Beaulac
- School of Rehabilitation, Université de Montréal, Montréal, Canada
| | - Mélissa David
- School of Rehabilitation, Université de Montréal, Montréal, Canada
| | - Catryne Deguire
- School of Rehabilitation, Université de Montréal, Montréal, Canada
| | - Catherine Haché
- School of Rehabilitation, Université de Montréal, Montréal, Canada
| | - Florian Klug
- Technischen Universität Darmstadt, Darmstaadt, Germany
| | - Mario Kupnik
- Technischen Universität Darmstadt, Darmstaadt, Germany
| | - Johanne Higgins
- School of Rehabilitation, Université de Montréal, Montréal, Canada.,Center for Interdisciplinary Research in Rehabilitation of Greater Montreal (CRIR), Institut universitaire sur la réadaptation en déficience physique de Montréal, CIUSSS Centre-Sud-de-l'Île-de-Montréal, Montreal, QC, Canada
| | - Dany H Gagnon
- School of Rehabilitation, Université de Montréal, Montréal, Canada.,Center for Interdisciplinary Research in Rehabilitation of Greater Montreal (CRIR), Institut universitaire sur la réadaptation en déficience physique de Montréal, CIUSSS Centre-Sud-de-l'Île-de-Montréal, Montreal, QC, Canada
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Yurkewich A, Kozak IJ, Hebert D, Wang RH, Mihailidis A. Hand Extension Robot Orthosis (HERO) Grip Glove: enabling independence amongst persons with severe hand impairments after stroke. J Neuroeng Rehabil 2020; 17:33. [PMID: 32102668 PMCID: PMC7045638 DOI: 10.1186/s12984-020-00659-5] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2019] [Accepted: 02/13/2020] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND The Hand Extension Robot Orthosis (HERO) Grip Glove was iteratively designed to meet requests from therapists and persons after a stroke who have severe hand impairment to create a device that extends all five fingers, enhances grip strength and is portable, lightweight, easy to put on, comfortable and affordable. METHODS Eleven persons who have minimal or no active finger extension (Chedoke McMaster Stage of Hand 1-4) post-stroke were recruited to evaluate how well they could perform activities of daily living and finger function assessments with and without wearing the HERO Grip Glove. RESULTS The 11 participants showed statistically significant improvements (p < 0.01), while wearing the HERO Grip Glove, in the water bottle grasp and manipulation task (increase of 2.3 points, SD 1.2, scored using the Chedoke Hand and Arm Inventory scale from 1 to 7) and in index finger extension (increase of 147o, SD 44) and range of motion (increase of 145o, SD 36). The HERO Grip Glove provided 12.7 N (SD 8.9 N) of grip force and 11.0 N (SD 4.8) of pinch force to their affected hands, which enabled those without grip strength to grasp and manipulate blocks, a fork and a water bottle, as well as write with a pen. The participants were 'more or less satisfied' with the HERO Grip Glove as an assistive device (average of 3.3 out of 5 on the Quebec User Evaluation of Satisfaction with Assistive Technology 2.0 Scale). The highest satisfaction scores were given for safety and security (4.6) and ease of use (3.8) and the lowest satisfaction scores were given for ease of donning (2.3), which required under 5 min with assistance. The most common requests were for greater grip strength and a smaller glove size for small hands. CONCLUSIONS The HERO Grip Glove is a safe and effective tool for enabling persons with a stroke that have severe hand impairment to incorporate their affected hand into activities of daily living, which may motivate greater use of the affected upper extremity in daily life to stimulate neuromuscular recovery.
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Affiliation(s)
- Aaron Yurkewich
- Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Canada.
- University Health Network - Toronto Rehabilitation Institute - KITE, Toronto, Canada.
- Bioengineering, Imperial College London, London, UK.
| | - Illya J Kozak
- University Health Network - Toronto Rehabilitation Institute - KITE, Toronto, Canada
| | - Debbie Hebert
- University Health Network - Toronto Rehabilitation Institute - KITE, Toronto, Canada
- Occupational Science and Occupational Therapy, University of Toronto, Toronto, Canada
| | - Rosalie H Wang
- University Health Network - Toronto Rehabilitation Institute - KITE, Toronto, Canada
- Occupational Science and Occupational Therapy, University of Toronto, Toronto, Canada
| | - Alex Mihailidis
- University Health Network - Toronto Rehabilitation Institute - KITE, Toronto, Canada
- Occupational Science and Occupational Therapy, University of Toronto, Toronto, Canada
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Evaluation of Commercial Ropes Applied as Artificial Tendons in Robotic Rehabilitation Orthoses. APPLIED SCIENCES-BASEL 2020. [DOI: 10.3390/app10030920] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
This study aims to present the design, selection and testing of commercial ropes (artificial tendons) used on robotic orthosis to perform the hand movements for stroke individuals over upper limb rehabilitation. It was determined the load applied in the rope would through direct measurements performed on four individuals after stroke using a bulb dynamometer. A tensile strength test was performed using eight commercial ropes in order to evaluate the maximum breaking force and select the most suitable to be used in this application. Finally, a pilot test was performed with a user of the device to ratify the effectiveness of the rope. The load on the cable was 12.38 kgf (121.4 N) in the stroke-affected hand, which is the maximum tensile force that the rope must to supports. Paragliding rope (DuPont™ Kevlar ® ) supporting a load of 250 N at a strain of 37 mm was selected. The clinical test proved the effectiveness of the rope, supporting the requested efforts, without presenting permanent deformation, effectively performing the participant’s finger opening.
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Zhang ZQ, Li KP, He J, Jiang LM, Wang W, Hu XS, Feng W. Acupuncture of fascia points to relieve hand spasm after stroke: a study protocol for a multicenter randomized controlled trial. Trials 2020; 21:69. [PMID: 31924256 PMCID: PMC6954519 DOI: 10.1186/s13063-019-3999-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Accepted: 12/14/2019] [Indexed: 11/29/2022] Open
Abstract
Background The loss of functional ability of patients after stroke is mostly caused by dysfunction of the upper limbs, especially the hands. Hand functional exercise is the premise of alleviating hand dysfunction, and the relief of hand spasm is the basis of timely and effective hand functional exercise. Previous clinical observation have shown that fascial-point needling can effectively alleviate hand spasm immediately after stroke, but further evidence from large-sample studies is needed. The overall objective of this trial is to further evaluate the clinical efficacy of fascial-point acupuncture on hand spasm after stroke. Methods/design This multicenter randomized controlled trial will compare the efficacy of fascial-point acupuncture versus sham acupuncture and routine rehabilitation therapy in stroke patients with hand spasm. Patients will be randomized to undergo either the fascial-point acupuncture, the sham acupuncture or the control (routine rehabilitation therapy). We will recruit 210 stroke inpatients who meet the trial criteria and observe the remission of hand spasm and improvement of limb function after 4 weeks of intervention. The first evaluation indices are the remission of hand spasm and the duration of spasm remission. The second evaluation indices are the hand function of the affected limbs and the activities of daily living. When the accumulative total number of cases included reaches 120, a mid-term analysis will be conducted to determine any evidence that experimental intervention does have an advantage. Discussion Our aim is to evaluate the efficacy of fascial-point acupuncture in relieving hand spasm after stroke. The results should provide more evidence for the clinical application of this therapy in the future. Trial registration Chinese Clinical Trial Registry (ChiCTR), ID: ChiCTR1900022379. Registered on 9 April 2019
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Affiliation(s)
- Zeng-Qiao Zhang
- Department of orthopedic rehabilitation, the Seventh People's Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, 358 Datong Road, Shanghai, 200137, China.,School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Kun-Peng Li
- Department of Neurological Rehabilitation, the Second Rehabilitation Hospital of Shanghai, Shanghai, China
| | - Jing He
- School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Li-Ming Jiang
- Department of orthopedic rehabilitation, the Seventh People's Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, 358 Datong Road, Shanghai, 200137, China.,School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Wu Wang
- Department of Neurological Rehabilitation, the Second Rehabilitation Hospital of Shanghai, Shanghai, China.,School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xiao-Shen Hu
- School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Wei Feng
- Department of orthopedic rehabilitation, the Seventh People's Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, 358 Datong Road, Shanghai, 200137, China. .,School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
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