EEG artifact removal at the edge using AI hardware
Wearable EEG enables non-invasive recording of brain signals when individuals engage in day-to-day activities. They are widely used in conditions such as epilepsy. RELIEVE https://project-relieve.eu/project-profile/ is an EU-funded project creating a wearable EEG unit, machine-learning models, and an ultrasound vagus nerve stimulator, which could ultimately be employed for applications in epilepsy management. Although many AI models exist for EEG artifact removal, to date they have not been deployed on edge hardware for real-time processing. In the EEG sensor device itself. Here, we report our progress in implementing a deep autoencoder network for artifact removal on edge hardware.
Publication Details
- Journal
- Research Explorer (The University of Manchester)
- Published
- 2024-09-26
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00