Electromyographic models to assess muscle fatigue

Journal of Electromyography and Kinesiology

Volumn 22, Issue 4, 2012, Pages 501-512

  González Izal, Miriam ^a   Malanda, Armando ^a   Gorostiaga, Esteban ^b   Izquierdo, Mikel ^a  

^a PUBLIC UNIVERSITY OF NAVARRE   (Spain)

^b Studies   (Spain)

Author keywords

EMG; Fatigue; Models; Multiple regression; Neural network; Training

Indexed keywords

ANALYTICAL PARAMETERS; DIMITROV SPECTRAL FATIGUE INDEX; ELECTROMYOGRAPHY; ENTROPY; FRACTAL ANALYSIS; HUMAN; INSTANTANEOUS MEAN FREQUENCY; INTERMETHOD COMPARISON; MUSCLE CONTRACTION; MUSCLE EXERCISE; MUSCLE FATIGUE; MUSCLE STRENGTH; MUSCLE WEAKNESS; NERVE CELL NETWORK; NEUROMUSCULAR FUNCTION; NONLINEAR SYSTEM; OUTCOME ASSESSMENT; PRIORITY JOURNAL; REVIEW; STATISTICAL ANALYSIS; STATISTICAL MODEL; TIME FREQUENCY DISTRIBUTION; TORQUE; VALIDATION PROCESS;

COMPUTER SIMULATION; ELECTROMYOGRAPHY; HUMANS; MODELS, BIOLOGICAL; MUSCLE CONTRACTION; MUSCLE FATIGUE; MUSCLE, SKELETAL; PHYSICAL ENDURANCE;

EID: 84863875623     PISSN: 10506411     EISSN: 18735711     Source Type: Journal    
DOI: 10.1016/j.jelekin.2012.02.019     Document Type: Review

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