Parkinson’s Disease Detection from Resting-State EEG Signals Using Common Spatial Pattern, Entropy, and Machine Learning Techniques

Parkinson’s disease (PD) is a very common brain abnormality that affects people all over the world. Early detection of such abnormality is critical in clinical diagnosis in order to prevent disease progression. Electroencephalography (EEG) is one of the most important PD diagnostic tools since this...

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Detalles Bibliográficos
Autores principales: Aljalal, Majid, Aldosari, Saeed A., AlSharabi, Khalil, Abdurraqeeb, Akram M., Alturki, Fahd A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9139946/
https://www.ncbi.nlm.nih.gov/pubmed/35626189
http://dx.doi.org/10.3390/diagnostics12051033

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9139946/
https://www.ncbi.nlm.nih.gov/pubmed/35626189
http://dx.doi.org/10.3390/diagnostics12051033

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