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Deep autoencoder for real-time EEG artifact removal and its Android smartphone implementation

Version 2 2023-08-16, 13:35
Version 1 2023-05-23, 16:07
posted on 2023-08-16, 13:35 authored by Le XingLe Xing, Alex CassonAlex Casson

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.