Detecting Parkinson’s disease from electroencephalogram signals: an explainable machine learning approach

Motin, M.A., Mahmud, M. and Brown, D.J. ORCID: 0000-0002-1677-7485, 2023. Detecting Parkinson’s disease from electroencephalogram signals: an explainable machine learning approach. In: 2022 IEEE 16th International Conference on Application of Information and Communication Technologies (AICT). IEEE. ISBN 9781665451635

Full text not available from this repository.
Item Type: Chapter in book
Description: Paper presented at 2022 IEEE 16th International Conference on Application of Information and Communication Technologies (AICT), Washington DC, DC, USA, 12-14 October 2022.
Creators: Motin, M.A., Mahmud, M. and Brown, D.J.
Publisher: IEEE
Date: 16 January 2023
ISBN: 9781665451635
Identifiers:
NumberType
10.1109/aict55583.2022.10013589DOI
1639292Other
Divisions: Schools > School of Science and Technology
Record created by: Laura Ward
Date Added: 30 Jan 2023 11:08
Last Modified: 30 Jan 2023 11:08
URI: https://irep.ntu.ac.uk/id/eprint/48111

Actions (login required)

Edit View Edit View

Views

Views per month over past year

Downloads

Downloads per month over past year