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Su T, Wang M, Chen Z, Feng L. Effect of Upper Robot-Assisted Training on Upper Limb Motor, Daily Life Activities, and Muscular Tone in Patients With Stroke: A Systematic Review and Meta-Analysis. Brain Behav 2024; 14:e70117. [PMID: 39482838 PMCID: PMC11527818 DOI: 10.1002/brb3.70117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2024] [Revised: 09/10/2024] [Accepted: 10/07/2024] [Indexed: 11/03/2024] Open
Abstract
BACKGROUND Upper limb rehabilitation robot is a relatively new technology, but its effectiveness remains debatable due to the inconsistent results of clinical trials. This article intends to assess how upper limb rehabilitation robots help the functional recovery of stroke patients. METHODS PubMed, Embase, Cochrane Library, and Web of Science databases were searched for eligible studies to explore the effect of upper limb rehabilitation robots on upper limb motor function, muscle tone, and daily living activities. RESULTS Eighteen trials with 573 stroke patients met the inclusion criteria. The results showed that compared to conventional rehabilitation training, patients who received upper limb robotic therapy (RT) had significantly improved Fugl-Meyer Upper Extremity Motor Assessment (FMA-UE) scores (weighted mean differences [WMD]: 5.27, 95% confidence intervals [CI]: 3.36, 7.17), Action Research Arm Test (ARAT) scores (WMD: 4.07, 95% CI: -4.14, 12.28), Modified Barthel Index (MBI) scores (WMD: 9.55, 95% CI: 6.37, 12.73), and modified Ashworth Scale (MAS) scores (WMD: -0.28, 95% CI: -0.50, 0.06), with no significant heterogeneity. CONCLUSIONS Upper limb robot-assisted training is superior to conventional training in terms of improving upper limb motor impairment, ability to perform daily living activities, and muscle tone recovery, which supports the application of robots in clinical practice.
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Affiliation(s)
- Tingting Su
- Department of Rehabilitation MedicineTongxiang First People's HospitalTongxiangZhejiangChina
| | - Mengting Wang
- Department of Rehabilitation MedicineTongxiang First People's HospitalTongxiangZhejiangChina
| | - Zhouyang Chen
- Department of Rehabilitation MedicineTongxiang First People's HospitalTongxiangZhejiangChina
| | - Liang Feng
- Department of Rehabilitation MedicineTongxiang First People's HospitalTongxiangZhejiangChina
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Samuelkamaleshkumar S, Annpatriciacatherine S, Jithu A, Jeromedanypraveenraj J, Senthilvelkumar T, Augustine TA, Chalageri PH, George J, Thomas R. Comparative Scoping Review: Robot-Assisted Upper Limb Stroke Rehabilitation in Low- and Middle-Income Countries Versus High-Income Nations. Arch Phys Med Rehabil 2024:S0003-9993(24)01266-8. [PMID: 39395709 DOI: 10.1016/j.apmr.2024.09.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Revised: 09/06/2024] [Accepted: 09/18/2024] [Indexed: 10/14/2024]
Abstract
OBJECTIVE To examine robotic interventions for upper limb rehabilitation poststroke, focusing on geographic distribution, stroke chronicity, outcome measures, outcomes of robotic interventions, and publication trends in low- and middle-income countries (LMICs) compared with high-income countries (HICs). DATA SOURCES Using Joanna Briggs Institute methodology and Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews guidelines, PubMed, CENTRAL, Embase, CINAHL, and PEDro databases were searched for studies on upper extremity rehabilitation with robotics poststroke. STUDY SELECTION This review focused on randomized controlled trials (RCTs) published between 2012 and 2024 that examined rehabilitation robots for upper limb impairments caused by stroke. The studies included adults aged ≥18 years in the acute, subacute, or chronic recovery phases. Eligible trials involved using robotic devices, independently or combined with other interventions. Only RCTs with 2 or more arms were considered, and all included studies were published in English. DATA EXTRACTION Reviewers independently extracted data on study characteristics, stroke chronicity, outcome measures, outcomes of robotic interventions, and temporal trends. DATA SYNTHESIS Of 129 articles meeting the criteria, 107 were from HICs, and 22 were from LMICs. Major contributors from HICs included Italy, Taiwan, and the USA, whereas China was a significant contributor among LMICs. Most studies focused on patients with chronic stroke, with varying assessment tools, the most common being the Fugl-Meyer Upper Extremity Evaluation. Positive outcomes were reported across studies, and recent research activity has increased in both settings. CONCLUSIONS This review underscores the expanding research on robotic therapy for upper limb rehabilitation in patients with stroke, primarily from HICs with limited input from low- and middle-income nations. Although positive outcomes were frequently observed, disparities between high-income and low-and middle-income countries were clear. The growing research indicates rising interest and advancements in this domain.
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Affiliation(s)
| | | | - Abrahamalex Jithu
- Department of Physical Medicine & Rehabilitation, Christian Medical College, Vellore, Tamil Nadu, India
| | | | | | - Thomas Anand Augustine
- Department of Physical Medicine & Rehabilitation, Christian Medical College, Vellore, Tamil Nadu, India
| | - Prashanth H Chalageri
- Department of Physical Medicine & Rehabilitation, Christian Medical College, Vellore, Tamil Nadu, India
| | - Jacob George
- Department of Physical Medicine & Rehabilitation, Christian Medical College, Vellore, Tamil Nadu, India
| | - Raji Thomas
- Department of Physical Medicine & Rehabilitation, Christian Medical College, Vellore, Tamil Nadu, India
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3
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Liu Y, Cui L, Wang J, Xiao Z, Chen Z, Yan J, Niu CM, Xie Q. Robot-assisted therapy in stratified intervention: a randomized controlled trial on poststroke motor recovery. Front Neurol 2024; 15:1453508. [PMID: 39391165 PMCID: PMC11464483 DOI: 10.3389/fneur.2024.1453508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2024] [Accepted: 09/16/2024] [Indexed: 10/12/2024] Open
Abstract
Objective To compare the effects of robot-assisted therapy with conventional therapy for accelerating stratified intervention in poststroke patients with upper limb dysfunction. Background For stroke survivors, recovery of upper extremity function remains a major challenge in rehabilitation. Literature has suggested that the rate of recovery may improve if treatments can be individualized to their clinical profiles. However, there still lack clinical evidence on how to create treatment tailored to individual patients. Robot-assisted Therapy (RT) provides a straightforward approach to adjustment of the assistance-resistance continuum for individual patients. In early Brunnstrom stages of recovery, patients benefit from assistance training, whereas in later stages the training is favored with resistance. Therefore, RT may enhance Conventional Therapy (CT) but the use of RT in stratified intervention has not been investigated. This study evaluated the possible benefit of adopting RT following a protocol of upper-limb training, which was stratified with the Brunnstrom stage of each individual. Methods This study was a single-blinded randomized controlled trial. A total of 53 patients with stroke were recruited and randomized into 2 groups (CT, n = 27, 3 dropped out and RT, n = 26, 2 dropped out). Both groups were trained once per day, 5 days per week for 4 weeks. The CT group received 30 min of conventional therapy; the RT group received 30 min of upper limb robot-assisted training. Patients were assessed at the beginning, week-2, and week-4 of the treatment. The outcome measures included the Fugl-Meyer Assessment Upper-Extremity (FMA-UE) and the Modified Barthel Index (MBI). Results Across the 4-week intervention, participants in the RT group recovered 1.979 points of FMA-UE per week, compared to 1.198 points per week in the CT group (t94 = 3.333, p < 0.01); the recovery rate was 0.781 points/week higher in the RT group than in the CT group. Moreover, the recovery of FMA-UE was faster in proximal joints (t94 = 3.199, p < 0.01), and for patients in Brunnstrom Stage III (t34 = 2.526, p < 0.05). The improvements in MBI were not significantly different between RT and CT. Conclusion Robot-assisted therapy showed initial evidence for the acceleration of post-stroke recovery of motor function in the upper limb. Initial observations suggested that patients in Brunnstrom recovery stage III might benefit the most from the stratified intervention assisted by robotics. Clinical trial registration https://www.chictr.org.cn/showproj.html?proj=61834, Identifier [ChiCTR2000039010]. Registered 13 March 2020.
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Affiliation(s)
- Yang Liu
- Department of Rehabilitation Medicine, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Lijun Cui
- Department of Rehabilitation Medicine, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Department of Rehabilitation Medicine, Ruijin Rehabilitation Hospital, Shanghai, China
- School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jixian Wang
- Department of Rehabilitation Medicine, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Department of Rehabilitation Medicine, Ruijin Rehabilitation Hospital, Shanghai, China
- School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Zihao Xiao
- Department of Rehabilitation Medicine, Ruijin Rehabilitation Hospital, Shanghai, China
| | - Zhi Chen
- Department of Rehabilitation Medicine, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jin Yan
- Department of Rehabilitation Medicine, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Chuanxin M. Niu
- Department of Rehabilitation Medicine, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Department of Rehabilitation Medicine, Ruijin Rehabilitation Hospital, Shanghai, China
- School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Qing Xie
- Department of Rehabilitation Medicine, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Department of Rehabilitation Medicine, Ruijin Rehabilitation Hospital, Shanghai, China
- School of Medicine, Shanghai Jiao Tong University, Shanghai, China
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Ju F, Wang Y, Xie B, Mi Y, Zhao M, Cao J. The Use of Sports Rehabilitation Robotics to Assist in the Recovery of Physical Abilities in Elderly Patients with Degenerative Diseases: A Literature Review. Healthcare (Basel) 2023; 11:healthcare11030326. [PMID: 36766901 PMCID: PMC9914201 DOI: 10.3390/healthcare11030326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 01/18/2023] [Accepted: 01/19/2023] [Indexed: 01/24/2023] Open
Abstract
The increase in the number of elderly patients with degenerative diseases has brought additional medical and financial pressures, which are adding to the burden on society. The development of sports rehabilitation robotics (SRR) is becoming increasingly sophisticated at the technical level of its application; however, few studies have analyzed how it works and how effective it is in aiding rehabilitation, and fewer individualized exercise rehabilitation programs have been developed for elderly patients. The purpose of this study was to analyze the working methods and the effects of different types of SRR and then to suggest the feasibility of applying SRR to enhance the physical abilities of elderly patients with degenerative diseases. The researcher's team searched 633 English-language journal articles, which had been published over the past five years, and they selected 38 of them for a narrative literature review. Our summary found the following: (1) The current types of SRR are generally classified as end-effector robots, smart walkers, intelligent robotic rollators, and exoskeleton robots-exoskeleton robots were found to be the most widely used. (2) The current working methods include assistant tools as the main intermediaries-i.e., robots assist patients to participate; patients as the main intermediaries-i.e., patients dominate the assistant tools to participate; and sensors as the intermediaries-i.e., myoelectric-driven robots promote patient participation. (3) Better recovery was perceived for elderly patients when using SRR than is generally achieved through the traditional single-movement recovery methods, especially in strength, balance, endurance, and coordination. However, there was no significant improvement in their speed or agility after using SRR.
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Affiliation(s)
- Fangyuan Ju
- Department of Physical Education, Yangzhou University, Yangzhou 225012, China
| | - Yujie Wang
- Department of Physical Education, Yangzhou University, Yangzhou 225012, China
| | - Bin Xie
- Department of Physical Education, Yangzhou University, Yangzhou 225012, China
| | - Yunxuan Mi
- Department of Physical Education, Yangzhou University, Yangzhou 225012, China
| | - Mengyun Zhao
- Department of Physical Education, Yangzhou University, Yangzhou 225012, China
| | - Junwei Cao
- Department of Business, Yangzhou University, Yangzhou 225012, China
- Correspondence:
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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] [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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Li W, Xu D. Application of intelligent rehabilitation equipment in occupational therapy for enhancing upper limb function of patients in the whole phase of stroke. MEDICINE IN NOVEL TECHNOLOGY AND DEVICES 2021. [DOI: 10.1016/j.medntd.2021.100097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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7
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Choi KB, Cho SH. Are Physical Therapeutics Important for Stroke Patients to Recover Their Cardiorespiratory Fitness? Medicina (B Aires) 2021; 57:medicina57111182. [PMID: 34833400 PMCID: PMC8619703 DOI: 10.3390/medicina57111182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Revised: 10/21/2021] [Accepted: 10/25/2021] [Indexed: 11/16/2022] Open
Abstract
Background and Objectives: Aspects of improving cardiorespiratory fitness should be factored into therapeutics for recovery of movement in stroke patients. This study aimed to recommend optimized cardiorespiratory fitness therapeutics that can be prescribed to stroke patients based on a literature review and an expert-modified Delphi technique. Materials and Methods: we searched PubMed, Embase, CINAHL, and Cochrane databases and yielded 13,498 articles published from 2010 to 2019 to support the development of drafts. After applying the exclusion criteria, 29 documents were analyzed (drafts, 17 articles; modified Delphi techniques, 12 articles). This literature was reviewed in combination with the results of a modified Delphi technique presented to experts in the physical medicine and rehabilitation field. Analysis of the literature and survey results was conducted at the participating university hospital. Results: the results of this analysis were as follows: first, 12 intervention items derived through a researcher’s literature review and a Delphi technique questionnaire were constructed using the Likert scale; second, we asked the experts to create two modified Delphi techniques by reconstructing the items after statistical analysis for each order comprising five categories, and 15 items were finally confirmed. Conclusions: the recommendations in this study may lead to the development of a standard decision-making process for physiotherapists to improve their patients’ cardiorespiratory fitness. Moreover, the study results can help prescribers document patient care to reduce prescription errors and improve safety. In the future, multidisciplinary studies could potentially provide better therapeutics alternatives for cardiorespiratory fitness.
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Affiliation(s)
- Ki-Bok Choi
- Team of Rehabilitation Treatment, Chosun University Hospital, 365, Pilmun-daero, Dong-gu, Gwangju 61453, Korea;
| | - Sung-Hyoun Cho
- Department of Physical Therapy, Nambu University, 23 Cheomdan Jungang-ro, Gwangsan-gu, Gwangju 62271, Korea
- Correspondence: ; Tel.: +82-10-3060-1330
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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: 3.3] [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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