The use of a neural network system in the identification of motor unit characteristics from surface detected action potentials: A simulation study

Journal of Neuroscience Methods

Volumn 116, Issue 1, 2002, Pages 89-98

  Bekka, R E ^a   Boudaoud, S ^a   Chikouche, D ^a  

^a FERHAT ABBAS UNIVERSITY   (Algeria)

Author keywords

EMG modelling; Identification; Motor unit action potential; Neural networks

Indexed keywords

ACTION POTENTIAL; ANISOTROPY; ARTICLE; ARTIFICIAL NEURAL NETWORK; MEASUREMENT; MORPHOLOGY; MOTOR UNIT; MUSCLE CONTRACTION; NERVE CONDUCTION; PRIORITY JOURNAL; SIGNAL NOISE RATIO; SIMULATION;

ACTION POTENTIALS; COMPUTER SIMULATION; ELECTROMYOGRAPHY; HUMANS; MOTOR NEURONS; MUSCLE, SKELETAL; NEURAL NETWORKS (COMPUTER); NEUROMUSCULAR JUNCTION;

EID: 0037197788     PISSN: 01650270     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-0270(02)00031-6     Document Type: Article

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