A wavelet based method for detecting and localizing epileptic neural spikes in EEG

Berdakh Abibullaev, Hee Don Seo, Won Seok Kang, Jinung An

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

Abstract

The recording of seizures is of primary interest in the evaluation of epileptic transients. Seizure is the phenomenon of rhythmicity discharge from either a local area or the whole brain and the individual behaviour usually lasts from seconds to minutes. Since seizures in general occur infrequently and unpredictably, an automatic detection of seizures during long-term electroencephalograph (EEG) recordings is highly recommended. As EEG signals are nonstationary, the conventional methods of frequency analysis are not successful for diagnostic purposes. This paper proposes a new method for the detection of epileptic transients in EEG by using continuous wavelet transform (CWT) with suitable mother wavelet functions and thresholding method. We demonstrate the efficiency of our method on data to identify and clearly locate in time the seizure activities. The method is superior both in separation from noise and in identifying superimposed epileptic action potentials based on in sets of combined scales. We prove that this method is fast and simple which also reduces real time computations.

Original languageEnglish
Title of host publicationProceedings of 2nd International Conference on Interaction Sciences
Subtitle of host publicationInformation Technology, Culture and Human
Pages702-707
Number of pages6
DOIs
Publication statusPublished - Dec 1 2009
Event2nd International Conference on Interaction Sciences: Information Technology, Culture and Human, ICIS 2009 - Seoul, Korea, Republic of
Duration: Nov 24 2009Nov 26 2009

Publication series

NameACM International Conference Proceeding Series
Volume403

Other

Other2nd International Conference on Interaction Sciences: Information Technology, Culture and Human, ICIS 2009
CountryKorea, Republic of
CitySeoul
Period11/24/0911/26/09

Keywords

  • Biomedical signal processing
  • Epilepsy
  • Epileptiform
  • Neural spikes
  • Seizure detection
  • Tonic clonic seizure
  • Wavelet transforms

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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  • Cite this

    Abibullaev, B., Seo, H. D., Kang, W. S., & An, J. (2009). A wavelet based method for detecting and localizing epileptic neural spikes in EEG. In Proceedings of 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human (pp. 702-707). (ACM International Conference Proceeding Series; Vol. 403). https://doi.org/10.1145/1655925.1656052