Comput. Biol. Med. - Differential operator in seizure detection.

Tópicos

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Resumo

Differential operators can detect significant changes in signals. This has been utilized to enhance the contrast of the seizure signatures in depth EEG or ECoG. We have actually taken normalized exponential of absolute value of single or double derivative of epileptic ECoG. This in short we call differential filtering. Windowed variance operation has been performed to automatically detect seizure onset on differentially filtered signal. A novel method for determining the duration of seizure has also been proposed. Since all operations take only linear time, the whole method is extremely fast. Seven empirical parameters have been introduced whose patient specific thresholding brings down the rate of false detection to a bare minimum. Results of implementation of the methods on the ECoG data of four epileptic patients have been reported with an ROC curve analysis. High value of the area under the ROC curve indicates excellent detection performance.

Resumo Limpo

differenti oper can detect signific chang signal util enhanc contrast seizur signatur depth eeg ecog actual taken normal exponenti absolut valu singl doubl deriv epilept ecog short call differenti filter window varianc oper perform automat detect seizur onset differenti filter signal novel method determin durat seizur also propos sinc oper take linear time whole method extrem fast seven empir paramet introduc whose patient specif threshold bring rate fals detect bare minimum result implement method ecog data four epilept patient report roc curv analysi high valu area roc curv indic excel detect perform

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