Epileptic seizures detection using continuous time wavelet based artificial neural networks

Abibullaev Berdakh, Seo Hee Don

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

7 Citations (Scopus)

Abstract

The aim of this work is to develop a new method for automatic detection and classification of EEG patterns using continuous wavelet transforms (CWT) and artificial neural networks (ANN). Our method consists of EEG data selection, feature extraction and classification stage. For the data selection we use temporal lobe seizures for evaluation recorded from patients during 84 hours at hospital. In feature extraction stage we use best basis mother wavelet functions and wavelet thresholding technique. In classification stage we implement multi layer perceptron neural networks according to standard backpropogation algorithm. We demonstrate the efficiency of our wavelet based feature extraction method on data to improve the ANN classification performance. We achieved 95.8% accuracy in classification of ictal and interictal EEG segments.

Original languageEnglish
Title of host publicationITNG 2009 - 6th International Conference on Information Technology
Subtitle of host publicationNew Generations
Pages1456-1461
Number of pages6
DOIs
Publication statusPublished - Dec 1 2009
Event6th International Conference on Information Technology: New Generations, ITNG 2009 - Las Vegas, NV, United States
Duration: Apr 27 2009Apr 29 2009

Publication series

NameITNG 2009 - 6th International Conference on Information Technology: New Generations

Other

Other6th International Conference on Information Technology: New Generations, ITNG 2009
CountryUnited States
CityLas Vegas, NV
Period4/27/094/29/09

Keywords

  • Artificial neural networks
  • Continuous wavelet transforms
  • Epilepsy
  • Seizure detection
  • Temporal lobe epilepsy

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

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  • Cite this

    Berdakh, A., & Don, S. H. (2009). Epileptic seizures detection using continuous time wavelet based artificial neural networks. In ITNG 2009 - 6th International Conference on Information Technology: New Generations (pp. 1456-1461). [5070832] (ITNG 2009 - 6th International Conference on Information Technology: New Generations). https://doi.org/10.1109/ITNG.2009.148