The study on the sEMG signal characteristics of muscular fatigue based on the Hilbert-Huang transform

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3991 LNCS - I, Issue , 2006, Pages 140-147

  Peng, Bo ^a,b   Jin, Xiaogang ^b   Min, Yong ^b   Su, Xianchuang ^a  

^a ZHEJIANG UNIVERSITY   (China)

^b ZHEJIANG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMEDICAL ENGINEERING; FEATURE EXTRACTION; MATHEMATICAL TRANSFORMATIONS; MUSCLE; NATURAL FREQUENCIES; SIGNAL PROCESSING;

ELECTROMYOGRAPHIC SIGNAL (SEMG); HILBERT-HUANG TRANSFORM (HHT); MAXIMAL VOLUNTARY CONTRACTION (MVC); MUSCULAR FATIGUE;

ELECTROMYOGRAPHY;

EID: 33746601294     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11758501_23     Document Type: Conference Paper

References (13)

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