Using modulus maximum pair of wavelet transform to detect spike wave of epileptic EEG

In this paper, the modulus maximum pair of wavelet transform is used to detect the spike wave of epileptic EEG signals by detecting their singular points for the first time. EEG signals are decomposed with a dyadic spline wavelet by Mallat algorithm. We can detect a spike wave by analyzing the relationship between the signal singularity, spike wave, and the modulus maximum pair of its wavelet transform. The data from 8 patients and 2 normal persons, totalling 754 spikes, is analyzed. Results show that the spike detection rate is 94.2%, and no false detection for normal EEG signals