MUAP extraction and classification based on wavelet transform and ICA for EMG decomposition

Medical and Biological Engineering and Computing

Volumn 44, Issue 5, 2006, Pages 371-382

  Ren, Xiaomei ^a   Hu, Xiao ^b   Wang, Zhizhong ^a   Yan, Zhiguo ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b SOUTH CHINA NORMAL UNIVERSITY   (China)

Author keywords

EMG signal decomposition; Independent component analysis (ICA); Minimum spanning tree (MST); Motor unit action potentials (MUAPs); Wavelet filtering

Indexed keywords

BANDPASS FILTERS; BIOELECTRIC PHENOMENA; INDEPENDENT COMPONENT ANALYSIS; MUSCLE; NEUROLOGY; WAVELET TRANSFORMS;

MINIMUM SPANNING TREE (MST); MOTOR UNIT ACTION POTENTIALS (MUAPS); NEUROMUSCULAR DISORDERS; SIGNAL DECOMPOSITION; WAVELET FILTERING;

ELECTROMYOGRAPHY;

AMPLITUDE MODULATION; ARTICLE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIGITAL FILTERING; ELECTROCARDIOGRAPHY MONITORING; ELECTROMYOGRAPHY; FEMALE; HUMAN; HUMAN EXPERIMENT; INDEPENDENT COMPONENT ANALYSIS; MALE; MATHEMATICAL ANALYSIS; MEASUREMENT ERROR; MOTOR UNIT POTENTIAL; MUSCLE STRENGTH; NOISE REDUCTION; NORMAL HUMAN; SCHOOL CHILD; SIGNAL DETECTION; SIGNAL TRANSDUCTION; VARIANCE;

ACTION POTENTIALS; ALGORITHMS; ELECTROMYOGRAPHY; HUMANS; MOTOR NEURONS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 33745443674     PISSN: 01400118     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11517-006-0051-3     Document Type: Article

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