Improving EEG major depression disorder classification using FBSE coupled with domain adaptation method based machine learning algorithms
Author:
Publisher
Elsevier BV
Subject
Health Informatics,Signal Processing,Biomedical Engineering
Reference65 articles.
1. Leveraging machine learning approaches for predicting antidepressant treatment response using electroencephalography (EEG) and clinical data;Jaworska;Front. Psych.,2019
2. A wavelet-based technique to predict treatment outcome for major depressive disorder;Mumtaz;PLoS One,2017
3. Brain functional networks based on resting-state EEG data for major depressive disorder analysis and classification;Zhang;IEEE Trans. Neural Syst. Rehabil. Eng.,2020
4. Feature-level fusion approaches based on multimodal EEG data for depression recognition;Cai;Information Fusion,2020
5. Classification of depression patients and normal subjects based on electroencephalogram (EEG) signal using alpha power and theta asymmetry;Mahato;J. Med. Syst.,2020
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. MDD brain network analysis based on EEG functional connectivity and graph theory;Heliyon;2024-09
2. A novel EEG-based graph convolution network for depression detection: Incorporating secondary subject partitioning and attention mechanism;Expert Systems with Applications;2024-04
3. Temporal-Spatial Conversion Based Sequential Convolutional LSTM Architecture for Detecting Drug Addiction;IEEE Signal Processing Letters;2024
4. The Capacity of Skin Potential in Generalized Anxiety Disorder Discrimination Using Weighted Feature Fusion;2024
5. Analysis of the Effect of Cross-Frequency Coupling in the Diagnosis of Depression Using Resting State EEG Signal;2023 30th National and 8th International Iranian Conference on Biomedical Engineering (ICBME);2023-11-30
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3