Automatic detection of epileptic seizure using time-frequency distributions

H. R. Mohseni, A. Maghsoudi, M. H. Kadbi, J. Hashemi, A. Ashourvan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

Abstract

The aim of this work is to introduce a new method based on time frequency distribution for classifying the EEG signals. Some parameters are extracted using time-frequency distribution as inputs to a feed-forward backpropagation neural networks (FBNN). The proposed method had better results with 98.25% accuracy compared to previously studied methods such as wavelet transform, entropy, logistic regression and Lyapunov exponent.

Original languageEnglish (US)
Title of host publicationIET 3rd International Conference MEDSIP 2006
Subtitle of host publicationAdvances in Medical, Signal and Information Processing
Pages29
Number of pages1
Edition520
DOIs
StatePublished - 2006
EventIET 3rd International Conference MEDSIP 2006: Advances in Medical, Signal and Information Processing - Glasgow, United Kingdom
Duration: Jul 17 2006Jul 19 2006

Publication series

NameIET Conference Publications
Number520

Conference

ConferenceIET 3rd International Conference MEDSIP 2006: Advances in Medical, Signal and Information Processing
CountryUnited Kingdom
CityGlasgow
Period7/17/067/19/06

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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