Classifying detection of epileptic EEG based on approximate entropy in wavelet domain

Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009

Volumn , Issue , 2009, Pages

  Wang, Chun Mei ^a,b   Zou, Jun Zhong ^a   Zhang, Jian ^a   Zhang, Zhi Suo ^c   Zhang, Chong Ming ^b  

^a EAST CHINA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b SHANGHAI NORMAL UNIVERSITY   (China)

^c SECOND MILITARY MEDICAL UNIVERSITY   (China)

Author keywords

Approximate entropy; Discrete wavelet transform; EEG; Epileptic; Neyman Pearson criteria

Indexed keywords

APPROXIMATE ENTROPY; COMPLEX WAVES; DETECTION METHODS; DETECTION RATES; DETECTION RULES; FALSE DETECTIONS; OPTIMAL DETECTION; SHARP WAVES; TIME-FREQUENCY CHARACTERISTICS; WAVELET DOMAIN;

BIOMEDICAL ENGINEERING; DISCRETE WAVELET TRANSFORMS; ENTROPY;

ELECTROENCEPHALOGRAPHY;

EID: 74049090136     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BMEI.2009.5305411     Document Type: Conference Paper

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