Multi-scale feature and multi-channel selection toward Parkinson’s disease diagnosis with EEG

Wu, H. orcid.org/0009-0009-8397-8541, Qi, J., Purwanto, E. orcid.org/0000-0001-6497-6721 et al. (3 more authors) (2024) Multi-scale feature and multi-channel selection toward Parkinson’s disease diagnosis with EEG. Sensors, 24 (14). 4634. ISSN 1424-8220

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© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Keywords: EEG; Parkinson’s disease; channel selection; machine learning; wavelet packet transform; Humans; Electroencephalography; Parkinson Disease; Algorithms; Signal Processing, Computer-Assisted; Male; Female; Middle Aged; Wavelet Analysis
Dates:
  • Published: 1 July 2024
  • Published (online): 17 July 2024
  • Accepted: 13 July 2024
  • Submitted: 14 May 2024
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 12 Aug 2024 14:18
Last Modified: 12 Aug 2024 14:18
Status: Published
Publisher: MDPI AG
Refereed: Yes
Identification Number: 10.3390/s24144634
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