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EEG Signal Analysis for Epilepsy Detection by DeeptiHB is a document available to read on EtoBox.

What is EEG Signal Analysis for Epilepsy Detection about?

The document discusses analyzing EEG signals to diagnose epileptic seizures. It proposes extracting features from EEG data using efficient wavelet transforms, then training a neural network classifier on the extracted features to detect epileptic seizures. Specifically, it performs (1) preprocessing on the EEG data using a moving average filter, (2) wavelet decomposition to extract features in different frequency bands, (3) calculating the energy in each frequency band, and (4) using the extracted energy fe

Author

DeeptiHB

Language

EN