publication . Other literature type . Article . 2012

Automatic seizure detection in SEEG using high frequency activities in wavelet domain.

L. Ayoubian; H. Lacoma; J. Gotman;
Open Access
  • Published: 29 May 2012
Abstract
Existing automatic detection techniques show high sensitivity and moderate specificity, and detect seizures a relatively long time after onset. High frequency (80–500 Hz) activity has recently been shown to be prominent in the intracranial EEG of epileptic patients but has not been used in seizure detection. The purpose of this study is to investigate if these frequencies can contribute to seizure detection. The system was designed using 30 h of intracranial EEG, including 15 seizures in 15 patients. Wavelet decomposition, feature extraction, adaptive thresholding and artifact removal were employed in training data. An EMG removal algorithm was developed based o...
Subjects
free text keywords: Article, Biophysics, Biomedical Engineering
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