EEG Signal Processing for Alzheimer’s Disorders Using Discrete Wavelet Transform and Machine Learning Approaches

EEG Signal Processing for Alzheimer’s Disorders Using Discrete Wavelet Transform and Machine Learning Approaches

The most common neurological brain issue is Alzheimer’s disease, which can be diagnosed using a variety of clinical methods. However, the electroencephalogram (EEG) is shown to be effective in detecting Alzheimer’s disease. The purpose of this research is to develop a computer-...

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Bibliographic Details
Main Authors: Khalil AlSharabi, Yasser Bin Salamah, Akram M. Abdurraqeeb, Majid Aljalal, Fahd A. Alturki
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Alzheimer’s disease
artificial neural network
average energy
decision tree
discrete wavelet transform
electroencephalogram
Online Access:https://ieeexplore.ieee.org/document/9857825/

Internet

https://ieeexplore.ieee.org/document/9857825/

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