Wavelet-based unsupervised learning method for electrocardiogram suppression in surface electromyograms

Medical Engineering and Physics

Volumn 38, Issue 3, 2016, Pages 248-256

  Niegowski, Maciej ^a   Zivanovic, Miroslav ^a  

^a PUBLIC UNIVERSITY OF NAVARRE   (Spain)

Author keywords

Electrocardiogram removal; Electromyography; Non negative matrix factorization; Wavelets

Indexed keywords

ELECTROCARDIOGRAPHY; ELECTROMYOGRAPHY; FACTORIZATION; LEARNING ALGORITHMS; MUSCLE; SIGNAL PROCESSING; SLEEP RESEARCH; SPECTRUM ANALYSIS; UNSUPERVISED LEARNING; WAVELET ANALYSIS; WAVELET DECOMPOSITION;

CONVERGENCE PROBLEMS; NONNEGATIVE MATRIX FACTORIZATION; PARAMETER ADJUSTMENTS; SIGNAL DECOMPOSITION; SINGULAR SPECTRUM ANALYSIS; TIME-FREQUENCY REPRESENTATIONS; UNSUPERVISED LEARNING METHOD; WAVELETS;

MATRIX ALGEBRA;

ARTICLE; COMPARATIVE STUDY; CONTROLLED STUDY; ELECTROCARDIOGRAM; ELECTROMYOGRAM; INDEPENDENT COMPONENT ANALYSIS; LEARNING ALGORITHM; NON NEGATIVE MATRIX FACTORIZATION; PRIORITY JOURNAL; QRS COMPLEX; SPECTROSCOPY; UNSUPERVISED MACHINE LEARNING; WAVELET ANALYSIS; ELECTROCARDIOGRAPHY; ELECTROMYOGRAPHY; HUMAN; SIGNAL PROCESSING;

ELECTROCARDIOGRAPHY; ELECTROMYOGRAPHY; HUMANS; SIGNAL PROCESSING, COMPUTER-ASSISTED; UNSUPERVISED MACHINE LEARNING; WAVELET ANALYSIS;

EID: 84958986753     PISSN: 13504533     EISSN: 18734030     Source Type: Journal    
DOI: 10.1016/j.medengphy.2015.12.008     Document Type: Article

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