Modeling nonlinear errors in surface electromyography due to baseline noise: A new methodology

Journal of Biomechanics

Volumn 44, Issue 1, 2011, Pages 202-205

  Frey Law, Laura ^a   Krishnan, Chandramouli ^b   Avin, Keith ^a  

^a UNIVERSITY OF IOWA   (United States)

^b REHABILITATION INSTITUTE OF CHICAGO   (United States)

Author keywords

Baseline; EMG; Error; Signal processing

Indexed keywords

BASELINE; CO-ACTIVATION; ELECTROMYOGRAPHIC SIGNAL; EMG; EMG AMPLITUDE; EMG SIGNAL; LOW-INTENSITY; MEASURED SIGNALS; MINIMAL EFFECTS; NOISE LEVELS; NOISE SUBTRACTION; NON-LINEAR ERROR; NONLINEAR FUNCTIONS; SIGNAL AMPLITUDE; SIGNAL NOISE; SIMULATION STUDIES; SMALL AMPLITUDE; STOCHASTIC NATURE; SUBSTANTIAL ERRORS; SURFACE ELECTROMYOGRAPHY;

SIGNAL TO NOISE RATIO;

SIGNAL PROCESSING;

ACCURACY; AMPLITUDE MODULATION; ARTICLE; CONTROLLED STUDY; ELECTROMYOGRAPHY; HUMAN; MEASUREMENT ERROR; MUSCLE CONTRACTION; NOISE; NONLINEAR SYSTEM; PRIORITY JOURNAL; PROCESS MODEL; SIGNAL NOISE RATIO; SIGNAL PROCESSING; VALIDATION PROCESS;

BIOMECHANICS; ELECTROMYOGRAPHY; HUMANS; KNEE JOINT; MODELS, BIOLOGICAL; MUSCLE CONTRACTION; NONLINEAR DYNAMICS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 78650034160     PISSN: 00219290     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbiomech.2010.09.008     Document Type: Article

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