Automatic detection of epileptic spike using fuzzy ARTMAP neural network
نویسندگان
چکیده
The present paper attempts to introduce a new approach for the automatic detection of epileptic spikes in EEG signal which plays a vital role in diagnosing epilepsy. In this approach, we have detected and classified epileptic spikes by using extracted features and Fuzzy ARTMAP neural network. The performance of classifying system is evaluated by three criteria of sensitivity, selectivity and specificity. For the classifying system applied in the current study, the obtained values of these three criteria are 88.24%, 93.75% and 90.9%, respectively, which compared with MLP classifier system, benefits from a higher speed and precision. Key-Words: EEG, epilepsy, epileptic spike detection, fourier transform, wavelet analysis, fuzzy ARTMAP
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