A methodology for validating artifact removal techniques for physiological signals

IEEE Transactions on Information Technology in Biomedicine

Volumn 16, Issue 5, 2012, Pages 918-926

  Sweeney, Kevin T ^a   Ayaz, Hasan ^b   Ward, Tomás E ^a   Izzetoglu, Meltem ^b   McLoone, Seán F ^a   Onaral, Banu ^b  

^a NATIONAL UNIVERSITY OF IRELAND   (Ireland)

^b DREXEL UNIVERSITY   (United States)

Author keywords

Artifact removal; electroencephalography (EEG); functional Near Infrared Spectroscopy (fNIRS); recording methodology

Indexed keywords

ALGORITHM PERFORMANCE; ARTIFACT REMOVAL; ARTIFACT SUPPRESSION; BIOMEDICAL SIGNAL PROCESSING; BIOSIGNAL PROCESSING; BRAIN MONITORING; CORRUPTED SIGNALS; DESIRED SIGNAL; EMPIRICAL APPROACH; ESSENTIAL COMPONENT; FUNCTIONAL-NEAR INFRARED; GROUND TRUTH; HEALTHCARE TECHNOLOGY; HIGHLY-CORRELATED; INCOMPLETE INFORMATION; MONITORING ENVIRONMENT; PHYSIOLOGICAL SIGNALS; REAL WORLD DATA; RECORDING METHODOLOGY; ROBUST METHODS; SIGNAL DYNAMICS; SIGNAL MODELS; SIMULATED DATA; TEST PLATFORMS;

APPROXIMATION ALGORITHMS; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY; HEALTH CARE; MATHEMATICAL MODELS; SIGNAL PROCESSING;

QUALITY CONTROL;

ADULT; ALGORITHM; ARTICLE; ARTIFACT; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; FEMALE; HUMAN; MALE; METHODOLOGY; NEAR INFRARED SPECTROSCOPY; REPRODUCIBILITY; SIGNAL NOISE RATIO; SIGNAL PROCESSING;

ADULT; ALGORITHMS; ARTIFACTS; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; FEMALE; HUMANS; MALE; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SIGNAL-TO-NOISE RATIO; SPECTROSCOPY, NEAR-INFRARED;

EID: 84866598128     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2012.2207400     Document Type: Article

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