Seizure Source Selection via a Hybrid Second Order Blind Identification and Gap Statistic Algorithm

In this paper a new method for isolating main seizure source from multichannel scalp EEG is proposed. First, the number of active brain sources in each time frame is determined. Then, second order blind identification (SOBI) is applied to isolate brain sources in a number of signal segments. After applying SOBI to the signals during seizure, rows of resulted unmixing matrix arc clustered by k-means clustering method. The value of k is estimated via gap statistic method. By multiplying each cluster center to the electrode signals, the brain sources are extracted. The results showed that seizure source could be effectively separated from other brain sources.