Investigation of chronic stress differences between groups exposed to three stressors and normal controls by analyzing EEG recordings

Na Li; Bin Hu; Jing Chen; Hong Peng; Qinglin Zhao; Mingqi Zhao

doi:10.1007/978-3-642-42042-9_64

Investigation of chronic stress differences between groups exposed to three stressors and normal controls by analyzing EEG recordings

Na Li, Bin Hu^*, Jing Chen, Hong Peng, Qinglin Zhao, Mingqi Zhao

^*此作品的通讯作者

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

3 引用（Scopus）

摘要

Despite clear evidence of connections between chronic stress, brain patterns, age and gender, few studies have explored stressor differences in stress detection. This paper presents a stressor-specific evaluation model conducted between stress levels and electroencephalogram(EEG) features. The overall complexity, chaos of EEG signals, and spectrum power of certain EEG bands from pre-frontal lobe(Fp1, Fp2 and Fpz) was analyzed. The results showed that different stressors can lead to varying degree of changes of frontal EEG complexity. Future study will build the stressor-specific evaluation model under considering the effects of gender and age.

源语言	英语
主期刊名	Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings
页	512-521
页数	10
版本	PART 2
DOI	https://doi.org/10.1007/978-3-642-42042-9_64
出版状态	已出版 - 2013
已对外发布	是
活动	20th International Conference on Neural Information Processing, ICONIP 2013 - Daegu, 韩国期限: 3 11月 2013 → 7 11月 2013

出版系列

姓名	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
编号	PART 2
卷	8227 LNCS
ISSN（印刷版）	0302-9743
ISSN（电子版）	1611-3349

会议

会议	20th International Conference on Neural Information Processing, ICONIP 2013
国家/地区	韩国
市	Daegu
时期	3/11/13 → 7/11/13

访问文件

10.1007/978-3-642-42042-9_64

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链接到 Scopus 的出版物

引用此

Li, N., Hu, B., Chen, J., Peng, H., Zhao, Q., & Zhao, M. (2013). Investigation of chronic stress differences between groups exposed to three stressors and normal controls by analyzing EEG recordings. 在 Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings (PART 2 编辑, 页码 512-521). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 8227 LNCS, 号码 PART 2). https://doi.org/10.1007/978-3-642-42042-9_64

Li, Na ; Hu, Bin ; Chen, Jing 等. / Investigation of chronic stress differences between groups exposed to three stressors and normal controls by analyzing EEG recordings. Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings. PART 2. 编辑 2013. 页码 512-521 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

@inproceedings{7a74e49f1ec84a89b814d023eb187bba,

title = "Investigation of chronic stress differences between groups exposed to three stressors and normal controls by analyzing EEG recordings",

abstract = "Despite clear evidence of connections between chronic stress, brain patterns, age and gender, few studies have explored stressor differences in stress detection. This paper presents a stressor-specific evaluation model conducted between stress levels and electroencephalogram(EEG) features. The overall complexity, chaos of EEG signals, and spectrum power of certain EEG bands from pre-frontal lobe(Fp1, Fp2 and Fpz) was analyzed. The results showed that different stressors can lead to varying degree of changes of frontal EEG complexity. Future study will build the stressor-specific evaluation model under considering the effects of gender and age.",

keywords = "Complexity, Electroencephalogram, Frontal asymmetry, Stress, Stressor",

author = "Na Li and Bin Hu and Jing Chen and Hong Peng and Qinglin Zhao and Mingqi Zhao",

year = "2013",

doi = "10.1007/978-3-642-42042-9_64",

language = "English",

isbn = "9783642420412",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

number = "PART 2",

pages = "512--521",

booktitle = "Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings",

edition = "PART 2",

note = "20th International Conference on Neural Information Processing, ICONIP 2013 ; Conference date: 03-11-2013 Through 07-11-2013",

}

Li, N, Hu, B, Chen, J, Peng, H, Zhao, Q & Zhao, M 2013, Investigation of chronic stress differences between groups exposed to three stressors and normal controls by analyzing EEG recordings. 在 Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings. PART 2 编辑, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 号码 PART 2, 卷 8227 LNCS, 页码 512-521, 20th International Conference on Neural Information Processing, ICONIP 2013, Daegu, 韩国, 3/11/13. https://doi.org/10.1007/978-3-642-42042-9_64

Investigation of chronic stress differences between groups exposed to three stressors and normal controls by analyzing EEG recordings. / Li, Na; Hu, Bin; Chen, Jing 等.
Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings. PART 2. 编辑 2013. 页码 512-521 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 8227 LNCS, 号码 PART 2).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Investigation of chronic stress differences between groups exposed to three stressors and normal controls by analyzing EEG recordings

AU - Li, Na

AU - Hu, Bin

AU - Chen, Jing

AU - Peng, Hong

AU - Zhao, Qinglin

AU - Zhao, Mingqi

PY - 2013

Y1 - 2013

N2 - Despite clear evidence of connections between chronic stress, brain patterns, age and gender, few studies have explored stressor differences in stress detection. This paper presents a stressor-specific evaluation model conducted between stress levels and electroencephalogram(EEG) features. The overall complexity, chaos of EEG signals, and spectrum power of certain EEG bands from pre-frontal lobe(Fp1, Fp2 and Fpz) was analyzed. The results showed that different stressors can lead to varying degree of changes of frontal EEG complexity. Future study will build the stressor-specific evaluation model under considering the effects of gender and age.

AB - Despite clear evidence of connections between chronic stress, brain patterns, age and gender, few studies have explored stressor differences in stress detection. This paper presents a stressor-specific evaluation model conducted between stress levels and electroencephalogram(EEG) features. The overall complexity, chaos of EEG signals, and spectrum power of certain EEG bands from pre-frontal lobe(Fp1, Fp2 and Fpz) was analyzed. The results showed that different stressors can lead to varying degree of changes of frontal EEG complexity. Future study will build the stressor-specific evaluation model under considering the effects of gender and age.

KW - Complexity

KW - Electroencephalogram

KW - Frontal asymmetry

KW - Stress

KW - Stressor

UR - http://www.scopus.com/inward/record.url?scp=84893418740&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-42042-9_64

DO - 10.1007/978-3-642-42042-9_64

M3 - Conference contribution

AN - SCOPUS:84893418740

SN - 9783642420412

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 512

EP - 521

BT - Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings

T2 - 20th International Conference on Neural Information Processing, ICONIP 2013

Y2 - 3 November 2013 through 7 November 2013

ER -

Li N, Hu B, Chen J, Peng H, Zhao Q, Zhao M. Investigation of chronic stress differences between groups exposed to three stressors and normal controls by analyzing EEG recordings. 在 Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings. PART 2 编辑 2013. 页码 512-521. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-42042-9_64

Investigation of chronic stress differences between groups exposed to three stressors and normal controls by analyzing EEG recordings

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