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eeg-dwt-arm

what is EEG? Its is a device from which our brain activities in the form of signals can be recorded.

So we can build and DL ML model for human emotion recognition, epilepsy seizure detection and many more.

#feature extraction from eeg datasets The features are being extracted using various feature extraction techniques to get the better result from EEg based Datasets.

METHOD

Use Discrete Wavelet Transform (Waveletpacket Decomposition in the paper) and Autoregressive Model to extract the features of EEG signals. DWT is used to get the frequency bands corresponding to mu-rhythm and beta-wave.

#DATASET

BCI Competition 2003 Dataset III. The file description.doc contains detailed information about the dataset.

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feature extraction from eeg datasets

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