[Eeglablist] BCI approach

[ALI ERFANI]

Hi there

I am trying to classify EEG patterns during hand movement imagination tasks.

To this aim, subjects are seated against computer monitor and start to imagine with the presentation of a visual cue.

Since for the BCI approach, electrode minimization is suggested to be a practical system. We use only seven electrode to record signals.

Eye blink artifacts is rejected by adaptive nonlinear filtering.

I am trying to enhance electrode signals by ICA technique. But due to small number of electrodes ICA result is poor.

I have some questions :

 

1- Can I make a ERP template pattern with averaging of (for example) ten trials then run ICA orver averaged sinal and apply obtained ICA weights on single trials for ERP filtering? (to improve SNR .)

 

2- Do adaptive filtering for rejecting eye blink (with reference electrode) degrade ICA performance?

 

I should grateful if you send me any comment. 

Thanks. Ali erfani.

    

e-mail: erfanish at yahoo.com



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