Before revision:  As an alternative, we here explore an unsupervised algorithm applicable to intra-cranial EEG recordings that requires good sampling of the non-ictal periods , but imposes no demands on the amount of data during ictal activity.
After revision:  As an alternative, we here explore an unsupervised algorithm applicable to intra-cranial EEG recordings , detecting transient fluctuations of the power in each frequency band. Its simplicity makes it suitable for online implementation. Good sampling of the non-ictal periods , but imposes no demands on the amount of data during ictal activity.