Evidence for schema theory from surface electromyography: an artificial neural network approach.

Evidence for schema theory from surface electromyography: an artificial neural network approach. Research Abstract Details 

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Evidence for schema theory from surface electromyography: an artificial neural network approach. Abstract Text:

Wu Ping,Bao Jiali,Xia Qiang,I Bruce,

In order to study voluntary movement control, we applied artificial neural networks (ANNs) to define the temporal patterns of surface electromyography (SEMG) activity used by normal subjects in performing three tasks, namely, wrist extension, continuous extension-flexion movements and extension-flexion movements for which the pause time between extension and flexion were 250 ms. SEMGs of 8 muscles were simultaneously recorded together with wrist movement. The results provided some evidence for the schema theory.

Evidence for schema theory from surface electromyography: an artificial neural network approach. Publishing Authors By Initials

W Ping,B Jiali,X Qiang,I Bruce,

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Evidence for schema theory from surface electromyography: an artificial neural network approach. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: Conference proceedings : ... Annual International

VOLUME: 5

Page Numbers: 5435-8

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ISSN: 1557-170X

DAY: 6

MONTH: 02

YEAR: 2005

Evidence for schema theory from surface electromyography: an artificial neural network approach. Information

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LANGUAGE: eng

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Grant and Affiliation Information for Evidence for schema theory from surface electromyography: an artificial neural network approach.

AFFILIATION: College of Medicine, Zhejiang University, Hangzhou 310006, China; School of Medicine, Hangzhou Teachers' College, 310012, China.

Country: United States

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MEDLINETA: Conf Proc IEEE Eng Med Biol So

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