Comparative performance of time-frequency based EEG spike detection techniques

Hamid Hassanpour, Luke Rankine, Mostefa Mesbah, Boualem Boashash

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

1 Citation (Scopus)

Abstract

This paper investigates the performance of time-frequency based EEG spike detection techniques. The non-stationary nature of EEG makes time-frequency methodology a suitable tool for analysis. The high instantaneous energy of spikes are reflected as very localised energy patterns in the time-frequency domain with reduced time duration toward the high frequency area. These characteristics of spikes in the time-frequency domain makes them recognisable from the background. Two recently published spike detection methods, based on quadratic time-frequency and adaptive time-frequency parameterisation are considered in this investigation. These methods have been applied on both synthetic and real EEG signals. The obtained results show the superior performance of the quadratic time-frequency method for detecting EEG spikes in terms of resolution and robustness to noise.

Original languageEnglish
Title of host publication13th European Signal Processing Conference, EUSIPCO 2005
Pages297-300
Number of pages4
Publication statusPublished - 2005
Event13th European Signal Processing Conference, EUSIPCO 2005 - Antalya, Turkey
Duration: Sep 4 2005Sep 8 2005

Other

Other13th European Signal Processing Conference, EUSIPCO 2005
CountryTurkey
CityAntalya
Period9/4/059/8/05

ASJC Scopus subject areas

  • Signal Processing

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  • Cite this

    Hassanpour, H., Rankine, L., Mesbah, M., & Boashash, B. (2005). Comparative performance of time-frequency based EEG spike detection techniques. In 13th European Signal Processing Conference, EUSIPCO 2005 (pp. 297-300)