Source separation from single-channel recordings by combining empirical-mode decomposition and independent component analysis

IEEE Transactions on Biomedical Engineering

Volumn 57, Issue 9, 2010, Pages 2188-2196

  Mijović, Bogdan ^a   De Vos, Maarten ^a   Gligorijević, Ivan ^a   Taelman, Joachim ^a   Van Huffel, Sabine ^a  

^a Katholieke Universiteit Leuven   (Belgium)

Author keywords

Blind source separation (BSS); empirical mode decomposition (EMD); feature extraction; independent component analysis (ICA); single channel signal analysis

Indexed keywords

BIOMEDICAL SIGNAL PROCESSING; EMPIRICAL MODE DECOMPOSITION; HIGH NOISE; INDEPENDENT COMPONENTS; MEASURED SIGNALS; MULTICHANNEL MEASUREMENT; REAL-LIFE APPLICATIONS; SEPARATION PERFORMANCE; SINGLE CHANNEL RECORDING; SINGLE-CHANNEL; SOURCE SEPARATION;

FEATURE EXTRACTION; INDEPENDENT COMPONENT ANALYSIS; SIGNAL ANALYSIS; SIGNAL PROCESSING;

BLIND SOURCE SEPARATION;

ARTICLE; BIOSEPARATION; COMPARATIVE STUDY; COMPUTER SIMULATION; ELECTROENCEPHALOGRAM; EMPIRICAL RESEARCH; INDEPENDENT COMPONENT ANALYSIS; OSCILLATION; RECORDER; SIGNAL DETECTION; SIGNAL NOISE RATIO; SINGLE CHANNEL INDEPENDENT COMPONENT ANALYSIS; SPIKE WAVE; WAVELET INDEPENDENT COMPONENT ANALYSIS;

ALGORITHMS; ANALYSIS OF VARIANCE; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; EPILEPSY, TEMPORAL LOBE; HUMANS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 77955908188     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2010.2051440     Document Type: Article

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