Intelligent classification of resting EEG signals in depressive disorder based on EMD and SVM

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作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Shi, Jian*;Deng, Yunlong;Lie, Bo;Feng, Li

通讯作者：

Shi, Jian

作者机构：

[Shi, Jian] Cent S Univ, Xiangya Hosp 3, Post Doctoral Mobile Stn Clin Med, Changsha 410013, Hunan, Peoples R China.

[Deng, Yunlong] Cent S Univ, Xiangya Hosp 3, Changsha 410013, Hunan, Peoples R China.

[Lie, Bo] Hunan Agr Univ, Sch Informat, Dept Internet Things Engn, Changsha 410128, Hunan, Peoples R China.

[Feng, Li] Guangzhou Univ Chinese Med, Sch Chinese Mat Med, Guangzhou 510006, Guangdong, Peoples R China.

通讯机构：

[Shi, Jian] C

Cent S Univ, Xiangya Hosp 3, Post Doctoral Mobile Stn Clin Med, Changsha 410013, Hunan, Peoples R China.

语种：

英文

关键词：

Depressive disorder;EEG;EMD;SVM

期刊：

Acta Medica Mediterranea

ISSN：

0393-6384

年：

2019

卷：

期：

页码：

1773-1778

DOI：

10.19193/0393-6384_2019_4_274

机构署名：

本校为其他机构

摘要：

Objective: The purpose of this research was to study the intelligent classification of resting electroencephalogram (EEG) signals in depressive disorders based on EMD (Empirical Mode Decomposition) and SVM (Support Vector Machine). Method: In this study, 50 volunteers were selected as the research objects. Based on the analysis methods of EMD and SVM, the relationship between the intelligent classification of resting EEG signals of depressive disorder was detected. Results: The results showed that in the sample characteristics, there were signi...

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Intelligent classification of resting EEG signals in depressive disorder based on EMD and SVM

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