Title :
Coactivations of Elbow and Shoulder Muscles in Hemiplegic Persons with Chronic Stroke during Robot-Assisted Training
Author :
Hu, X.L. ; Song, R. ; Tong, K.Y. ; Tsang, S.F. ; Leung, O.Y. ; Li, L.
Author_Institution :
Dept. of Health Technol. & Informatics, Hong Kong Polytech. Univ.
fDate :
Aug. 30 2006-Sept. 3 2006
Abstract :
The motor recovery procedure of chronic stroke during robot-assisted training has not been well studied previously. In this work, we analyzed the variations in the coactivating patterns of elbow and shoulder muscles (biceps, triceps lateral, anterior deltoid, and posterior deltoid) in hemiplegic persons with chronic stroke (n=4) during a 20-session´s interactive robot-assisted treatment. Significant decreases in muscle cocontractions (P<0.05) for all muscle pairs started from the 8th session of the training. Improvements were also observed in motor scores of Fugl-Meyer and modified Ashworth scale after the treatment. The results suggested an increased dexterity and selective control on individual muscles for both elbow and shoulder joints in a designed task after the robot-assisted training
Keywords :
medical robotics; neuromuscular stimulation; patient rehabilitation; Ashworth scale; Fugl-Meyer scale; biceps; chronic stroke; coactivating patterns; dexterity; elbow muscle; hemiplegic persons; motor recovery procedure; motor scores; muscle cocontractions; robot-assisted training; robot-assisted treatment; shoulder muscle; triceps; Brain injuries; Cities and towns; Elbow; Electromyography; Muscles; Neuromuscular; Pattern analysis; Rehabilitation robotics; Robots; USA Councils;
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2006.259575