Electroencephalogram-based decoding cognitive states using convolutional neural network and likelihood ratio based score fusion
Electroencephalogram (EEG)-based decoding human brain activity is challenging, owing to the low spatial resolution of EEG. However, EEG is an important technique, especially for brain-computer interface applications. In this study, a novel algorithm is proposed to decode brain activity associated wi...
| Main Authors: | Zafar, R., Dass, S.C., Malik, A.S. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.19502 / |
| Published: |
Public Library of Science
2017
|
| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019989084&doi=10.1371%2fjournal.pone.0178410&partnerID=40&md5=f240a8f7de2fbdad62d806485c6ff38a http://eprints.utp.edu.my/19502/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|