Signal decomposition by multi-scale PCA and its applications to long-term EEG signal classification

2011 IEEE/ICME International Conference on Complex Medical Engineering, CME 2011

Volumn , Issue , 2011, Pages 532-537

  Xie, Shengkun ^a   Krishnan, Sridhar ^a  

^a RYERSON UNIVERSITY   (Canada)

Author keywords

Biomedical Signal Classification; Multi scale Principal Component Analysis; Principal Component Analysis; Signal Decomposition

Indexed keywords

BIOMEDICAL IMAGES; BIOMEDICAL SIGNAL; CLASSIFICATION ACCURACY; CLASSIFICATION METHODS; DE-NOISING; EEG SIGNAL CLASSIFICATION; EEG SIGNALS; EPILEPTIC SEIZURE DETECTION; MULTI-SCALE PRINCIPAL COMPONENT ANALYSIS; MULTISCALES; ORIGINAL SIGNAL; PCA METHOD; PRINCIPAL COMPONENTS; SIGNAL CLASSIFICATION; SIGNAL DECOMPOSITION; TEMPORAL DOMAIN;

BIOELECTRIC PHENOMENA; BIOMEDICAL ENGINEERING; DECOMPOSITION; DISCRETE WAVELET TRANSFORMS; PRINCIPAL COMPONENT ANALYSIS; SIGNAL DISTORTION;

SIGNAL PROCESSING;

EID: 79959956378     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCME.2011.5876798     Document Type: Conference Paper

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