Morphology-based wavelet features and multiple mother wavelet strategy for spike classification in EEG signals

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2012, Pages 3959-3962

  Zhou, Jing ^a   Schalkoff, Robert J ^a   Dean, Brian C ^a   Halford, Jonathan J ^b  

^a Clemson University   (United States)

^b MEDICAL UNIVERSITY OF SOUTH CAROLINA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

10-FOLD CROSS-VALIDATION; CLASSIFIER PERFORMANCE; EEG CLASSIFICATION; EEG SIGNALS; FEATURE SETS; FEATURE VECTORS; MORPHOLOGICAL STRUCTURES; MOTHER WAVELETS; NONPARAMETRIC METHODS; SENSITIVITY AND SPECIFICITY; SPATIAL INFORMATIONS; WAVELET FEATURES; WAVELET SUBBAND COEFFICIENT;

INDUSTRIAL ENGINEERING;

ENGINEERING;

ALGORITHM; ARTICLE; DATA BASE; ELECTRODE; ELECTROENCEPHALOGRAPHY; HUMAN; SIGNAL PROCESSING; WAVELET ANALYSIS;

ALGORITHMS; DATABASES AS TOPIC; ELECTRODES; ELECTROENCEPHALOGRAPHY; HUMANS; SIGNAL PROCESSING, COMPUTER-ASSISTED; WAVELET ANALYSIS;

EID: 84870812428     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2012.6346833     Document Type: Conference Paper

References (6)

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