Computer-aided diagnosis Application by using Nonlinear Dynamics of EEG Signals to detect Depression State-Reference-Cited by-同舟云学术

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Computer-aided diagnosis Application by using Nonlinear Dynamics of EEG Signals to detect Depression State

Published:2023-04-20 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Computational Intelligence, Communication Technology and Networking (CICTN)
language:
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Author:

Ramadan Ghazi Mohamad¹,Salem Muniqth²,Hamzah Abdulnaser Khalid³,Dubey Ghanshyam Prasad⁴

Affiliation:

1. Ahl Al Bayt University,College of MLT,Kerbala,Iraq

2. Medical Lab Techniques/ Al-Farahidi University,College of Medical Technology,Iraq

3. Al-Nisour University College,Department of Medical Laboratories Technology,Baghdad,Iraq

4. Amity University,Department of Computer Science & Engineering,Gwalior,Madhya Pradesh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10140171/10140201/10141003.pdf?arnumber=10141003

Reference21 articles.

1. Predicting Parkinson's disease using gradient boosting decision tree models with electroencephalography signals

2. A One-Dimensional CNN-LSTM Model for Epileptic Seizure Recognition Using EEG Signal Analysis

3. Detection of Alcoholism: An EEG Hybrid Features and Ensemble Subspace K-NN Based Approach

4. A novel three-band orthogonal wavelet filter bank method for an automated identification of alcoholic EEG signals;sharma;Appl Intell,2018

5. Global health disparities in vulnerable populations of psychiatric patients during the COVID-19 pandemic

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