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
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;
Conference_Titel :
Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference on
Conference_Location :
San Diego, CA
DOI :
10.1109/NER.2013.6696251