Muscle fatigue tracking with evoked EMG via recurrent neural network: Toward personalized neuroprosthetics

IEEE Computational Intelligence Magazine

Volumn 9, Issue 2, 2014, Pages 38-46

  Li, Zhan ^a   Hayashibe, Mitsuhiro ^a   Fattal, Charles ^b   Guiraud, David ^a  

^a CNRS   (France)

^b Centre Mutualiste Neurologique PROPARA   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; FORECASTING; FUNCTIONAL ELECTRIC STIMULATION; RECURRENT NEURAL NETWORKS; SIGNAL PROCESSING; TORQUE;

BIO-SIGNAL PROCESSING; ESTIMATION PERFORMANCE; FUNCTIONAL ELECTRICAL STIMULATION; NEUROLOGICAL DISORDERS; NEUROMUSCULAR DYNAMICS; PATIENT SPECIFICITY; REHABILITATION TECHNOLOGY; TIME-VARYING CHARACTERISTICS;

MUSCLE;

EID: 84899061138     PISSN: 1556603X     EISSN: None     Source Type: Journal    
DOI: 10.1109/MCI.2014.2307224     Document Type: Article

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