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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Bibliographic Details
Main Authors: Majid Aljalal, Saeed A. Aldosari, Khalil AlSharabi, Akram M. Abdurraqeeb, Fahd A. Alturki
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Diagnostics
Subjects:
Online Access:https://www.mdpi.com/2075-4418/12/5/1033