Detection of Parkinson’s disease from EEG signals using discrete wavelet transform, different entropy measures, and machine learning techniques

Early detection of Parkinson’s disease (PD) is very important in clinical diagnosis for preventing disease development. In this study, we present efficient discrete wavelet transform (DWT)-based methods for detecting PD from health control (HC) in two cases, namely, off-and on-medication. First, the...

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Detalles Bibliográficos
Autores principales: Aljalal, Majid, Aldosari, Saeed A., Molinas, Marta, AlSharabi, Khalil, Alturki, Fahd A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9800369/
https://www.ncbi.nlm.nih.gov/pubmed/36581646
http://dx.doi.org/10.1038/s41598-022-26644-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9800369/
https://www.ncbi.nlm.nih.gov/pubmed/36581646
http://dx.doi.org/10.1038/s41598-022-26644-7

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