DocumentCode
663259
Title
Clustering index analysis of the surface electromyogram poststroke
Author
Xu Zhang ; Ping Zhou
Author_Institution
Sensory Motor Performance Program, Rehabilitation Inst. of Chicago, Chicago, IL, USA
fYear
2013
fDate
6-8 Nov. 2013
Firstpage
1586
Lastpage
1589
Abstract
The purpose of this study is to test the utility of a new and simple quantitative analysis method, termed clustering index (CI) method, using surface electromyogram (EMG) for evaluating spinal motoneuron involvement in muscle weakness of chronic stroke patients. Five stroke patients were recruited and instructed to generate isometric contraction for the first dorsal interosseous (FDI) muscle at difference force levels. The recording was performed in both paretic and contralateral sides of all stroke subjects, respectively. The Z-score, based on the CI method, was calculated on each side of a subject. Three subjects presented abnormally lower Z-scores on the paretic side, indicating dominant myopathic changes like muscle atrophy, while other 2 subjects presented relatively normal Z-scores. The normal observation in these 2 subjects may be induced by the combination of myopathic changes and neurogenic changes like degeneration of spinal motoneurons.
Keywords
electromyography; medical disorders; medical signal processing; neurophysiology; pattern clustering; CI method; EMG; chronic stroke patients; clustering index analysis; clustering index method; contralateral side; dominant myopathic changes; first dorsal interosseous muscle; force levels; isometric contraction; muscle atrophy; muscle weakness; neurogenic changes; normal observation; paretic side; relatively normal Z-scores; simple quantitative analysis method; spinal motoneuron degeneration; spinal motoneuron involvement; surface electromyogram poststroke; Atrophy; Electromyography; Force; Indexes; Linear regression; Muscles; Pathology;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference on
Conference_Location
San Diego, CA
ISSN
1948-3546
Type
conf
DOI
10.1109/NER.2013.6696251
Filename
6696251
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