DocumentCode
3369112
Title
Evaluation of sEMG on contralateral upper limb physiological characteristic evaluation methodology
Author
Qun, Xie ; Linhong, Ji
Author_Institution
State Key Lab. of Tribology, Tsinghua Univ., Beijing, China
fYear
2010
fDate
26-28 June 2010
Firstpage
6029
Lastpage
6031
Abstract
Quantitative evaluation for estimating motor function is a prerequisite for clinical application of rehabilitation robot. The current clinical evaluations, such as Fugl-Meyer assessment, still have some deficiency. The study provided an innovative evaluation method, which contrasted the physiological character of impaired limb with the contralateral upper limb of post stroke hemiplegic patients, and investigate the comparability of surface Electromyography (sEMG) between patients and healthy persons during robot-assisted motor recovery training possess similar track and equivalent velocity. There is much comparability of sEMG characteristic in healthy limb of patients compare with healthy person, yet less comparability exist in the impaired limb. The results in the study imply that the method depend on contralateral limb sEMG characteristic have potential capacity in clinical quantitative evaluation of rehabilitation and may competent to associate with other physiological character.
Keywords
electromyography; medical robotics; patient rehabilitation; service robots; Fugl-Meyer assessment; contralateral upper limb physiological characteristic evaluation; equivalent velocity; impaired limb; motor function estimation; post stroke hemiplegic patients; quantitative evaluation; rehabilitation robot; robot-assisted motor recovery training possess; sEMG; surface electromyography; Electromyography; Extremities; Force sensors; Laboratories; Rehabilitation robotics; Robots; Senior citizens; State estimation; Testing; Tribology; Contralateral upper limb physiological characteristic; Surface Electromyography (sEMG); Upper limb motor function; evaluation methodology;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-7737-1
Type
conf
DOI
10.1109/MACE.2010.5536785
Filename
5536785
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