how o create feature vector from dwt?

i have eeg raw data of motor imagery downloaded from openvibe site. i want to classify eeg data. i used dwt for feature extraction. i got psd of alpha, beta, gamma, theta, delta. now how do i create feature vector from my result. or how do i classify signal using svm. please suggest any classification code. somebody tell me how to carry out classification using svm.

Answer 1

[Zaid Alyasseri]

Dear Kaur, To classify the eeg signals which were extracted the several features from it. First, you have to create your own dataset which has your extracted feature as well as a class label (Subject iD). Then you can try any classifiers such as SVM,KNN,ANN,LDA,...,etc.