EOG artifact removal using a wavelet neural network

Neurocomputing

Volumn 97, Issue , 2012, Pages 374-389

  Nguyen, Hoang Anh T ^a   Musson, John ^a   Li, Feng ^a   Wang, Wei ^b   Zhang, Guangfan ^b   Xu, Roger ^b   Richey, Carl ^c   Schnell, Tom ^c   McKenzie, Frederic D ^a   Li, Jiang ^a  

^a Old Dominion University   (United States)

^b INTELLIGENT AUTOMATION INC   (United States)

^c IA United States   (United States)

Author keywords

Artifact removal; EEG; EOG; ICA; Wavelet neural network (WNN); Wavelet thresholding

Indexed keywords

ADAPTIVE WAVELET THRESHOLDING; ARTIFACT REMOVAL; COMPUTATIONALLY EFFICIENT; DATA SETS; EOG; EOG SIGNAL; GROUND TRUTH; REAL TIME ALGORITHMS; TRAINING DATA; UNIVERSAL APPROXIMATION; WAVELET NEURAL NETWORKS; WAVELET THRESHOLDING;

ELECTROENCEPHALOGRAPHY; INDEPENDENT COMPONENT ANALYSIS; NEURAL NETWORKS;

APPROXIMATION ALGORITHMS;

ACCURACY; ARTICLE; ARTIFACT REDUCTION; CALCULATION; CORRELATION COEFFICIENT; ELECTROOCULOGRAM; EYE TRACKING; INDEPENDENT COMPONENT ANALYSIS; LEARNING ALGORITHM; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NONLINEAR SYSTEM; PREDICTION; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; SIGNAL NOISE RATIO; SIMULATION; WAVELET ANALYSIS; WAVELET NEURAL NETWORK ALGORITHM;

EID: 84865308821     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2012.04.016     Document Type: Article

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