EEG Signal Analysis for Diagnosing Neurological Disorders Using Discrete Wavelet Transform and Intelligent Techniques

EEG Signal Analysis for Diagnosing Neurological Disorders Using Discrete Wavelet Transform and Intelligent Techniques

Analysis of electroencephalogram (EEG) signals is essential because it is an efficient method to diagnose neurological brain disorders. In this work, a single system is developed to diagnose one or two neurological diseases at the same time (two-class mode and three-class mode). For this purpose, di...

Full description

Bibliographic Details
Main Authors: Fahd A. Alturki, Khalil AlSharabi, Akram M. Abdurraqeeb, Majid Aljalal
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Sensors
Subjects:
artificial neural network
autism spectrum disorder
band power
discrete wavelet transform
electroencephalogram
entropy
Online Access:https://www.mdpi.com/1424-8220/20/9/2505

Internet

https://www.mdpi.com/1424-8220/20/9/2505

Similar Items