Literature DB >> 26460793

Robot-Assisted Reach Training for Improving Upper Extremity Function of Chronic Stroke.

Ki Hun Cho1, Won-Kyung Song.   

Abstract

Stroke, as a major risk factor for chronic impairment of upper limb function, can severely restrict the activities of daily living. Recently, robotic devices have been used to enhance the functional upper extremity movement of stroke patients. The purpose of the current study was to assess whether a robot-assisted reach training program using a whole arm manipulator (WAM) could improve upper extremity kinematic performance and functional movement for chronic stroke patients. Using a single-group design, this study followed 10 people with chronic stroke (6 men, 61.5 years; Mini-Mental State Examination score: 27.0; onset duration: 8.9 years). WAM with seven degrees of freedom for the shoulder, elbow, and wrist joints was used during robot-assisted reach exercises. Subjects participated in the training program for 40 minutes per day, 2 times a week, for 4 weeks. The main outcome measures were upper extremity kinematic performance (movement velocity) for three directions and functional movement (Action Research Arm Test). Upper extremity kinematic performance and functional movement measures were performed three times: at baseline, during intervention (at 2 weeks), and post intervention. Upper extremity kinematic performance and functional movement showed improvement after two weeks (P < 0.05) and four weeks (P < 0.05) of training compared to baseline. The findings of the current study demonstrated the positive effects of short-term robot-assisted reach training on upper extremity kinematic performance as well as functional movement in individuals with chronic stroke. In addition, the findings of the current study may provide valuable information for subsequent randomized controlled trials.

Entities:  

Mesh:

Year:  2015        PMID: 26460793     DOI: 10.1620/tjem.237.149

Source DB:  PubMed          Journal:  Tohoku J Exp Med        ISSN: 0040-8727            Impact factor:   1.848


  5 in total

Review 1.  Use of machine learning in geriatric clinical care for chronic diseases: a systematic literature review.

Authors:  Avishek Choudhury; Emily Renjilian; Onur Asan
Journal:  JAMIA Open       Date:  2020-10-08

2.  Do children and adolescent ice hockey players with and without a history of concussion differ in robotic testing of sensory, motor and cognitive function?

Authors:  C Elaine Little; Carolyn Emery; Stephen H Scott; Willem Meeuwisse; Luz Palacios-Derflingher; Sean P Dukelow
Journal:  J Neuroeng Rehabil       Date:  2016-10-12       Impact factor: 4.262

3.  A Preliminary Investigation of the Association of Sleep With Inflammation and Oxidative Stress Biomarkers and Functional Outcomes After Stroke Rehabilitation.

Authors:  Ting-Ting Yeh; Yu-Wei Hsieh; Ching-Yi Wu; Jong-Shyan Wang; Keh-Chung Lin; Chia-Ling Chen
Journal:  Sci Rep       Date:  2017-08-17       Impact factor: 4.379

4.  Upper limb robotic rehabilitation for chronic stroke survivors: a single-group preliminary study.

Authors:  Ki Hun Cho; Mi-Ran Hong; Won-Kyung Song
Journal:  J Phys Ther Sci       Date:  2018-04-20

5.  Translational effects of robot-mediated therapy in subacute stroke patients: an experimental evaluation of upper limb motor recovery.

Authors:  Eduardo Palermo; Darren Richard Hayes; Emanuele Francesco Russo; Rocco Salvatore Calabrò; Alessandra Pacilli; Serena Filoni
Journal:  PeerJ       Date:  2018-09-04       Impact factor: 2.984

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.