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Volumn 78, Issue 1-2, 1997, Pages 65-74

Prediction of dynamic tendon forces from electromyographic signals: An artificial neural network approach

Author keywords

Cat; EMG; In vivo; Skeletal muscle

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; CAT; ELECTROMYOGRAPHY; FORCE; GASTROCNEMIUS MUSCLE; PREDICTION; PRIORITY JOURNAL; STRENGTH; TENDON; WALKING SPEED;

EID: 0031592343     PISSN: 01650270     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-0270(97)00142-8     Document Type: Article
Times cited : (40)

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