Detection of spectral instability in EEG recordings during the preictal period.

Abstract : The study of EEG recordings during the interval prior to an epileptic seizure onset--the preictal period--is likely to detect changes in the ongoing brain activity consistent with seizure anticipation. A novel index of spectral instability (ISpI) based on multiple abrupt changes of EEG spectral features is presented here. Based on the analysis of control records, robust M-estimates are used to calculate the threshold and avoid false warnings. The results obtained with a small data set (three patients, ten preictal records per patient) have shown that the ISpI index provided a warning flag that anticipated the seizure onset by 13.1 (SD = 4.0) min on average.
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Journal of Neural Engineering, IOP Publishing, 2007, 4 (3), pp.173-8. 〈10.1088/1741-2560/4/3/001〉
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http://www.hal.inserm.fr/inserm-00382267
Contributeur : Jean-Paul Issartel <>
Soumis le : jeudi 7 mai 2009 - 16:21:16
Dernière modification le : jeudi 7 mai 2009 - 16:45:03

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Tatyana Aksenova, Vladimir Volkovych, Alessandro Villa. Detection of spectral instability in EEG recordings during the preictal period.. Journal of Neural Engineering, IOP Publishing, 2007, 4 (3), pp.173-8. 〈10.1088/1741-2560/4/3/001〉. 〈inserm-00382267〉

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