Fuzzy approximate entropy analysis of chaotic and natural complex systems: Detecting muscle fatigue using electromyography signals

Annals of Biomedical Engineering

Volumn 38, Issue 4, 2010, Pages 1483-1496

  Xie, Hong Bo ^a,b   Guo, Jing Yi ^a   Zheng, Yong Ping ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b JIANGSU UNIVERSITY   (China)

Author keywords

Complexity; Electromyography; Fuzzy approximate entropy; Muscle fatigue; Time series analysis

Indexed keywords

ANALYSIS WINDOWS; APPROXIMATE ENTROPY; CHIRP SIGNALS; COMPLEXITY MEASURES; DATA LENGTH; ELECTROMYOGRAPHY SIGNALS; EMG SIGNAL; EXPERIMENTAL DATA; FUZZY APPROXIMATE ENTROPY; FUZZY MEMBERSHIP FUNCTION; GAUSSIANS; HENON MAP; MEAN FREQUENCY; MONOTONICITY; MUSCLE CONTRACTIONS; MUSCLE FATIGUE; MUSCLE FATIGUES; NATURAL COMPLEX SYSTEMS; PERFORMANCE ANALYSIS; PHYSIOLOGICAL SIGNALS; QUANTITATIVE INFORMATION; RELATIVE CONSISTENCY; ROSSLER EQUATIONS; STOCHASTIC BEHAVIOR; SURFACE ELECTROMYOGRAPHY;

CHAOTIC SYSTEMS; ELECTROMYOGRAPHY; ENTROPY; MEMBERSHIP FUNCTIONS; SIGNAL ANALYSIS; SIGNAL DETECTION; STANDARDIZATION; TIME SERIES; TIME SERIES ANALYSIS;

MUSCLE;

ADULT; ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; ELECTROMYOGRAPHY; ENTROPY; FEMALE; FUZZY LOGIC; HUMAN; MALE; METHODOLOGY; MUSCLE CONTRACTION; MUSCLE FATIGUE; NONLINEAR SYSTEM; PHYSIOLOGY; SKELETAL MUSCLE;

ADULT; ALGORITHMS; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROMYOGRAPHY; ENTROPY; FEMALE; FUZZY LOGIC; HUMANS; MALE; MUSCLE CONTRACTION; MUSCLE FATIGUE; MUSCLE, SKELETAL; NONLINEAR DYNAMICS; PATTERN RECOGNITION, AUTOMATED;

EID: 77952009932     PISSN: 00906964     EISSN: 15739686     Source Type: Journal    
DOI: 10.1007/s10439-010-9933-5     Document Type: Article

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