Mild Cognitive Impairment Detection from EEG Signals Using Combination of EMD Decomposition and Machine Learning
Author:
Affiliation:
1. Electrical Engineering King Saud University,Riyadh,Saudi Arabia
2. Engineering Cybernetics Norwegian University of Science and Technology,Trondheim,Norway
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10293182/10293222/10293374.pdf?arnumber=10293374
Reference49 articles.
1. EEG Signal Analysis for Diagnosing Neurological Disorders Using Discrete Wavelet Transform and Intelligent Techniques
2. Comprehensive review on brain-controlled mobile robots and robotic arms based on electroencephalography signals
3. EEG Channel-Selection Method for Epileptic-Seizure Classification Based on Multi-Objective Optimization
4. Common Spatial Pattern Technique With EEG Signals for Diagnosis of Autism and Epilepsy Disorders
5. Combining MRI and CSF measures for classification of Alzheimer's disease and prediction of mild cognitive impairment conversion
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1. EEG-Based Detection of Mild Cognitive Impairment Using DWT-Based Features and Optimization Methods;Diagnostics;2024-07-26
2. Selecting EEG channels and features using multi-objective optimization for accurate MCI detection: validation using leave-one-subject-out strategy;Scientific Reports;2024-05-30
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