GitHub / Mashghdoust / Classifying-EEG-signals-by-extracting-features-from-a-moving-time-window-using-different-ML-models

In this project I have extarcted 30 time and frequancy features from EEG signals (of left hand and right hand moving) in an espicific time window. Then using PCA i have decreased the features dimension to 10. Then I have quarried different methdos of ML: KNN(1,3,5,6), SVM(Linear kernel, Gaussian kernel), LDA, Naive bayes on different time windows.

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Topics: eeg, knn, lda, leave-one-out-cross-validation, machine-learning, naive-bayes, signal-processing, svm

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