Description
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.
| Date made available | 16 Aug 2023 |
|---|---|
| Publisher | University of Manchester Figshare |
Keywords
- autoencoder neural network
- EEG artifact removal
- smartphone app objectives
- deep learning application on EEG
- brain computer interface research
- hardware acceleration