Neonatal EEG seizure detection using spike signatures in the time-frequency domain

Hamid Hassanpour, Mostefa Mesbah

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

9 Citations (Scopus)

Abstract

This paper presents an improved time-frequency (TF) based technique for newborn EEG seizure detection. The original technique analyses successive spikes intervals of the EEG signal in the TF domain to discriminate between seizure and nonseizure activities. In this paper improvement on the original approach is achieved by using a new spike detection technique. In this technique the TF of the signal is enhanced before the actual spike detection scheme is applied. Then, two frequency slices are extracted from the higher frequency area of the TF distribution to detect the spikes. The extracted frequency slices are subjected to the smoothed nonlinear energy operator to accentuate the spike signatures. Histogram of successive spikes intervals is then used as a feature for seizure detection. In the presented technique the EEG data are segmented into 4-second epochs. A k-nearest neighbour algorithm is employed to classify the EEG epochs into seizure and nonseizure groups. The performance of the presented technique is evaluated using the EEG data of five neonates.

Original languageEnglish
Title of host publicationProceedings - 7th International Symposium on Signal Processing and Its Applications, ISSPA 2003
PublisherIEEE Computer Society
Pages41-44
Number of pages4
Volume2
ISBN (Print)0780379462, 9780780379466
DOIs
Publication statusPublished - 2003
Event7th International Symposium on Signal Processing and Its Applications, ISSPA 2003 - Paris, France
Duration: Jul 1 2003Jul 4 2003

Other

Other7th International Symposium on Signal Processing and Its Applications, ISSPA 2003
CountryFrance
CityParis
Period7/1/037/4/03

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ASJC Scopus subject areas

  • Signal Processing

Cite this

Hassanpour, H., & Mesbah, M. (2003). Neonatal EEG seizure detection using spike signatures in the time-frequency domain. In Proceedings - 7th International Symposium on Signal Processing and Its Applications, ISSPA 2003 (Vol. 2, pp. 41-44). [1224810] IEEE Computer Society. https://doi.org/10.1109/ISSPA.2003.1224810