Electroencephalography (EEG) based epilepsy diagnosis via multiple feature space fusion using shared hidden space-driven multi-view learning
Epilepsy is a chronic, non-communicable disease caused by paroxysmal abnormal synchronized electrical activity of brain neurons, and is one of the most common neurological diseases worldwide. Electroencephalography (EEG) is currently a crucial tool for epilepsy diagnosis. With the development of art...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Published: |
PeerJ
2024
|
| Subjects: | |
| Online Access: | http://eprints.um.edu.my/45470/ https://doi.org/10.7717/peerj-cs.1874 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Malaya |