Journal of Biomedical Science and Engineering

Volume 4, Issue 3 (March 2011)

ISSN Print: 1937-6871   ISSN Online: 1937-688X

Google-based Impact Factor: 0.66  Citations  h5-index & Ranking

Statistical analysis of Epileptic activities based on Histogram and Wavelet-Spectral entropy

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DOI: 10.4236/jbise.2011.43029    7,114 Downloads   12,627 Views  Citations

Affiliation(s)

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ABSTRACT

Epilepsy is a chronic neurological disorder which is identified by successive unexpected seizures. Electroencephalogram (EEG) is the electrical signal of brain which contains valuable information about its normal or epileptic activity. In this work EEG and its frequency sub-bands have been analysed to detect epileptic seizures. A discrete wavelet transform (DWT) has been applied to decompose the EEG into its sub-bands. Applying histogram and Spectral entropy approaches to the EEG sub-bands, normal and abnormal states of brain can be distinguished with more than 99% probability.

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Mirzaei, A. , Ayatollahi, A. and Vavadi, H. (2011) Statistical analysis of Epileptic activities based on Histogram and Wavelet-Spectral entropy. Journal of Biomedical Science and Engineering, 4, 207-213. doi: 10.4236/jbise.2011.43029.

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