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Deep autoencoder for real-time EEG artifact removal and its Android smartphone implementation
This project (linked to the GitHub repository) developed a novel Deep Convolutional Autoencoder neural network for single-channel EEG (electroencephalogram) artifact removal in real-time, and the proposed model has also been implemented into an Android Smartphone App for mobile EEG and potential portable Brain-Computer Interfaces applications. The repository contains the pre-processed EEG data used, Python code and Android Studio project.
