GaborPDNet: Gabor Transformation and Deep Neural Network for Parkinson’s Disease Detection Using EEG Signals

GaborPDNet: Gabor Transformation and Deep Neural Network for Parkinson’s Disease Detection Using EEG Signals

Parkinson’s disease (PD) is globally the most common neurodegenerative movement disorder. It is characterized by a loss of dopaminergic neurons in the substantia nigra of the brain. However, current methods to diagnose PD on the basis of clinical features of Parkinsonism may lead to misdiagnoses. He...

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Bibliographic Details
Main Authors: Hui Wen Loh, Chui Ping Ooi, Elizabeth Palmer, Prabal Datta Barua, Sengul Dogan, Turker Tuncer, Mehmet Baygin, U. Rajendra Acharya
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Electronics
Subjects:
Parkinson’s disease (PD)
classification
electroencephalogram (EEG)
deep learning
CNN
Gabor transform
Online Access:https://www.mdpi.com/2079-9292/10/14/1740

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