Title :
Evidence for Schema Theory from Surface Electromyography: An Artificial Neural Network Approach
Author :
Ping, Wu ; Jiali, Bao ; Qiang, Xia ; Bruce, I.C.
Author_Institution :
Coll. of Med., Zhejiang Univ., Hangzhou
Abstract :
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
Keywords :
biomechanics; electromyography; medical signal processing; neural nets; 250 ms; ANN; SEMG; artificial neural network; continuous extension-flexion movements; muscles; schema theory; surface electromyography; temporal patterns; voluntary movement control; wrist extension; wrist movement; Artificial neural networks; Back; Electromyography; Multi-layer neural network; Muscles; Neural networks; Neurons; Skin; Transfer functions; Wrist;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1615712
