Characterization of surface EMG signal based on fuzzy entropy

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Volumn 15, Issue 2, 2007, Pages 266-272

  Chen, Weiting ^a   Wang, Zhizhong ^a   Xie, Hongbo ^b   Yu, Wangxin ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b JIANGSU UNIVERSITY   (China)

Author keywords

ApEn; Electromyography (EMG); FuzzyEn; Regularity; SampEn

Indexed keywords

ENTROPY; NOISE POLLUTION; PHYSIOLOGICAL MODELS; PROBABILITY; SIGNAL PROCESSING; VECTORS; ALGEBRA; ELECTROMYOGRAPHY; EXPONENTIAL FUNCTIONS; FUZZY SETS; TIME SERIES;

EXPONENTIAL FUNCTION; IDENTICALLY DISTRIBUTED;

ELECTROMYOGRAPHY; MUSCLE;

ARTICLE; BODY POSTURE; ELECTROMYOGRAM; FUZZY SYSTEM; HAND MOVEMENT; MATHEMATICAL ANALYSIS; NOISE; PRIORITY JOURNAL; SIGNAL TRANSDUCTION;

ACTION POTENTIALS; ALGORITHMS; COMPUTER SIMULATION; ELECTROMYOGRAPHY; ENTROPY; FUZZY LOGIC; HUMANS; MODELS, BIOLOGICAL; MUSCLE CONTRACTION; MUSCLE, SKELETAL; PATTERN RECOGNITION, AUTOMATED;

APEN; CONDITIONAL PROBABILITIES; DATA SETS; FUZZY ENTROPY; NATURAL LOGARITHMS; PHYSIOLOGICAL SIGNALS; RANDOM NUMBERS; SINUSOIDAL SIGNALS; SURFACE ELECTROMYOGRAPHY SIGNALS; SURFACE EMG;

EID: 34250774365     PISSN: 15344320     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNSRE.2007.897025     Document Type: Article

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