Prediction of Epileptic Seizure by Analysing Time Series EEG Signal Using -NN Classifier

Table 1

Training and testing template of feature vectors of epileptic EEG data.

Subjects of train or test	Normalized features
	ApEn	SD	SE	MMAV	Roll-off	ZC
S1	0.17123	0.87575	0.87574	0.78181	0.77964	0.39014
S2	0.20376	0.80575	0.80574	0.51230	0.49013	0.59653
⋮	⋮	⋮	⋮	⋮	⋮	⋮
S20	0.61815	0.66366	0.66367	0.39526	0.39025	0.55392