Improving the ability of matching pursuit algorithm in detecting spikes

L. Rankine, M. Mesbah, B. Boashash

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

Abstract

Detection of signal transients, or spikes, is a suitable application of time-frequency signal processing. One such time-frequency method for spike detection is matching pursuit, incorporating a redundant time-frequency dictionary. However, problems arise when using matching pursuit to detect repetitive rhythmical spiking, which is a common characteristic in an application such as newborn EEG seizure detection. In this paper we investigate the ability of matching pursuit to detect spikes both in synthetic signals and real newborn EEG seizure. It is shown that repetitive spikes may be recognised by matching pursuit as harmonic patterns rather than individual spikes. Consequently, these spikes cannot be located in the matching pursuit time-frequency domain representation. However, we have found that the relationship between the length of a repetitive spike sequence and interval between successive spikes in the sequence plays a pivotal role in the ability of matching pursuit to detect these spikes.

Original languageEnglish
Title of host publication13th European Signal Processing Conference, EUSIPCO 2005
Pages592-595
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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    Rankine, L., Mesbah, M., & Boashash, B. (2005). Improving the ability of matching pursuit algorithm in detecting spikes. In 13th European Signal Processing Conference, EUSIPCO 2005 (pp. 592-595)