Umace Filter for Detection of Abnormal Changes In Eeg: A Report of 6 Cases

It is well known that the UMACE filter is mostly used for face detection system, text recognition and fingerprint verification. However, in this study, the potential of UMACE to detect changes in EEG data from epilepsy monitoring routine is explored using only one channel of EEG recording. A novel method to analyse and detect variances in scalp EEG is performed by comparing the abnormal region to the normal segment of the patient’s EEG. The changes occurred in the zero plot is examined and initial results showed that these changes can be employed to distinguish irregularities in EEG. The proposed method is capable to produce first rate results too.