Estimation of an EEG highest predictive channel for mental tasks

الملخص EN

This paper proposed a way for estimating the highest predictive EEG channel for mental tasks (mathematics, relax and character recognition).

The energy of un-mixing matrix (W) that is evaluated by applying Fast Independent Component Analysis FASTICA algorithm is used with no further processing.

The highest predictive channel that discriminate between mental tasks for the same conditions is obtained.

A 100 % prediction of the mental task is obtained when using these channels.