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wavelet for EEG signals

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charlie_chapleen

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Hi there.
could any body tell me that is Wavelet feature extraction is good way to extract power or energy of EEG signals?
 

Seems like a round-about way of doing it... unless you have a specific reason for using wavelets. Are you actually trying to extract signal features, or are you just trying to calculate the power/energy?
 

In deed im going to extract power/energy for gamma band of EEG them wanna doing SVM for classification. In general im going for analysis of Gamma signal band of addicted people and compare to the other healthy people.
for sake of this matter Ive decided to take this way to have better and obvious power or energy rather than FFT. also Ive done ICA on my EEG raw signal to omit artifacts.
what do you think dude?
 

I think that the energy level depend on How good your wavelet match to EEG signals ? When the peak of Wavelet function be normal to 1, What's the it's real power ? Then you can scale to the Wavelet that used to match EEG Signals .

Ex. Input real pulse size 1 watts : Output(Wavelet) = 1 watts ?
 

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