DETECTION SYMPTOMPS OF PATHOLOGICAL ACTIVITY IN THE EEG USING THE WAVELET TRANSFORM.
Babkin N.F.

The electroencephalography is an important clinical mean for diagnosis of epilepsy. Spikes and sharp waves in EEG (electroencephalogram) are characteristic signatures of this disease. Since the visual identification of this pathological activity is very time consuming, the automatic detection of this activity would be highly appreciated. The traditional definition of a spike based on its amplitude, duration, sharpness and emergence from its background. However, spike detection system built solely around this definition are not reliable due to the presence of numerous transients and artifacts. The article describes the automated detection algorithms of epileptic events based on Wavelet analysis .In article, an detection algorithm based on the Mexican hat mother wavelet is compared with detection algorithm based on Gauss wavelet. The detection algorithms are compared on their on sensitivity and specificity ratios.