Time Effect of Anxiety Stimuli on EEG Data Discovered by Wavelet and Data Mining Analysis

Zhuohui Xu; Nanlin Jin

doi:10.1007/978-981-96-7277-6_1

Time Effect of Anxiety Stimuli on EEG Data Discovered by Wavelet and Data Mining Analysis

Zhuohui Xu, Nanlin Jin^*

^*Corresponding author for this work

Xi'an Jiaotong-Liverpool University

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

Abstract

Anxiety is a prevalent mental state that commonly appears in daily life, and how electroencephalographic (EEG) signals respond to anxiety triggers remains poorly understood. This study aims to investigate the changes in EEG signals that respond to anxiety stimuli, at different levels of anxiety. The EEG data during exposure to the stimuli and the time immediately after exposure is analysed using both numerical computation and wavelet transform techniques. Interestingly the stimulus decreased anxiety in severely anxious participants but slightly increased anxiety in normal participants. This helps understand time effects of anxiety stimuli and aids future clinical assessments and interventions.

Original language	English
Title of host publication	Advances in Intelligent Data Analysis and Applications - Proceedings of the 8th Euro–China Conference on Intelligent Data Analysis and Applications, 2024
Editors	Shu-Chuan Chu, Chien-Ming Chen, Jeng-Shyang Pan, Lingping Kong
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	3-13
Number of pages	11
ISBN (Print)	9789819672769
DOIs	https://doi.org/10.1007/978-981-96-7277-6_1
Publication status	Published - 2026
Event	8th Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2024 - Xiamen, China Duration: 7 Dec 2024 → 9 Dec 2024

Publication series

Name	Smart Innovation, Systems and Technologies
Volume	445 SIST
ISSN (Print)	2190-3018
ISSN (Electronic)	2190-3026

Conference

Conference	8th Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2024
Country/Territory	China
City	Xiamen
Period	7/12/24 → 9/12/24

Keywords

Data mining
EEG
Wavelet transform

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-981-96-7277-6_1

Cite this

Xu, Z., & Jin, N. (2026). Time Effect of Anxiety Stimuli on EEG Data Discovered by Wavelet and Data Mining Analysis. In S.-C. Chu, C.-M. Chen, J.-S. Pan, & L. Kong (Eds.), Advances in Intelligent Data Analysis and Applications - Proceedings of the 8th Euro–China Conference on Intelligent Data Analysis and Applications, 2024 (pp. 3-13). (Smart Innovation, Systems and Technologies; Vol. 445 SIST). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-96-7277-6_1

Xu, Zhuohui ; Jin, Nanlin. / Time Effect of Anxiety Stimuli on EEG Data Discovered by Wavelet and Data Mining Analysis. Advances in Intelligent Data Analysis and Applications - Proceedings of the 8th Euro–China Conference on Intelligent Data Analysis and Applications, 2024. editor / Shu-Chuan Chu ; Chien-Ming Chen ; Jeng-Shyang Pan ; Lingping Kong. Springer Science and Business Media Deutschland GmbH, 2026. pp. 3-13 (Smart Innovation, Systems and Technologies).

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title = "Time Effect of Anxiety Stimuli on EEG Data Discovered by Wavelet and Data Mining Analysis",

abstract = "Anxiety is a prevalent mental state that commonly appears in daily life, and how electroencephalographic (EEG) signals respond to anxiety triggers remains poorly understood. This study aims to investigate the changes in EEG signals that respond to anxiety stimuli, at different levels of anxiety. The EEG data during exposure to the stimuli and the time immediately after exposure is analysed using both numerical computation and wavelet transform techniques. Interestingly the stimulus decreased anxiety in severely anxious participants but slightly increased anxiety in normal participants. This helps understand time effects of anxiety stimuli and aids future clinical assessments and interventions.",

keywords = "Data mining, EEG, Wavelet transform",

author = "Zhuohui Xu and Nanlin Jin",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.; 8th Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2024 ; Conference date: 07-12-2024 Through 09-12-2024",

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doi = "10.1007/978-981-96-7277-6\_1",

language = "English",

isbn = "9789819672769",

series = "Smart Innovation, Systems and Technologies",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "3--13",

editor = "Shu-Chuan Chu and Chien-Ming Chen and Jeng-Shyang Pan and Lingping Kong",

booktitle = "Advances in Intelligent Data Analysis and Applications - Proceedings of the 8th Euro–China Conference on Intelligent Data Analysis and Applications, 2024",

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Xu, Z & Jin, N 2026, Time Effect of Anxiety Stimuli on EEG Data Discovered by Wavelet and Data Mining Analysis. in S-C Chu, C-M Chen, J-S Pan & L Kong (eds), Advances in Intelligent Data Analysis and Applications - Proceedings of the 8th Euro–China Conference on Intelligent Data Analysis and Applications, 2024. Smart Innovation, Systems and Technologies, vol. 445 SIST, Springer Science and Business Media Deutschland GmbH, pp. 3-13, 8th Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2024, Xiamen, China, 7/12/24. https://doi.org/10.1007/978-981-96-7277-6_1

Time Effect of Anxiety Stimuli on EEG Data Discovered by Wavelet and Data Mining Analysis. / Xu, Zhuohui; Jin, Nanlin.
Advances in Intelligent Data Analysis and Applications - Proceedings of the 8th Euro–China Conference on Intelligent Data Analysis and Applications, 2024. ed. / Shu-Chuan Chu; Chien-Ming Chen; Jeng-Shyang Pan; Lingping Kong. Springer Science and Business Media Deutschland GmbH, 2026. p. 3-13 (Smart Innovation, Systems and Technologies; Vol. 445 SIST).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - Time Effect of Anxiety Stimuli on EEG Data Discovered by Wavelet and Data Mining Analysis

AU - Xu, Zhuohui

AU - Jin, Nanlin

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.

PY - 2026

Y1 - 2026

N2 - Anxiety is a prevalent mental state that commonly appears in daily life, and how electroencephalographic (EEG) signals respond to anxiety triggers remains poorly understood. This study aims to investigate the changes in EEG signals that respond to anxiety stimuli, at different levels of anxiety. The EEG data during exposure to the stimuli and the time immediately after exposure is analysed using both numerical computation and wavelet transform techniques. Interestingly the stimulus decreased anxiety in severely anxious participants but slightly increased anxiety in normal participants. This helps understand time effects of anxiety stimuli and aids future clinical assessments and interventions.

AB - Anxiety is a prevalent mental state that commonly appears in daily life, and how electroencephalographic (EEG) signals respond to anxiety triggers remains poorly understood. This study aims to investigate the changes in EEG signals that respond to anxiety stimuli, at different levels of anxiety. The EEG data during exposure to the stimuli and the time immediately after exposure is analysed using both numerical computation and wavelet transform techniques. Interestingly the stimulus decreased anxiety in severely anxious participants but slightly increased anxiety in normal participants. This helps understand time effects of anxiety stimuli and aids future clinical assessments and interventions.

KW - Data mining

KW - EEG

KW - Wavelet transform

UR - https://www.scopus.com/pages/publications/105020768018

U2 - 10.1007/978-981-96-7277-6_1

DO - 10.1007/978-981-96-7277-6_1

M3 - Conference Proceeding

AN - SCOPUS:105020768018

SN - 9789819672769

T3 - Smart Innovation, Systems and Technologies

SP - 3

EP - 13

BT - Advances in Intelligent Data Analysis and Applications - Proceedings of the 8th Euro–China Conference on Intelligent Data Analysis and Applications, 2024

A2 - Chu, Shu-Chuan

A2 - Chen, Chien-Ming

A2 - Pan, Jeng-Shyang

A2 - Kong, Lingping

PB - Springer Science and Business Media Deutschland GmbH

T2 - 8th Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2024

Y2 - 7 December 2024 through 9 December 2024

ER -

Xu Z, Jin N. Time Effect of Anxiety Stimuli on EEG Data Discovered by Wavelet and Data Mining Analysis. In Chu SC, Chen CM, Pan JS, Kong L, editors, Advances in Intelligent Data Analysis and Applications - Proceedings of the 8th Euro–China Conference on Intelligent Data Analysis and Applications, 2024. Springer Science and Business Media Deutschland GmbH. 2026. p. 3-13. (Smart Innovation, Systems and Technologies). doi: 10.1007/978-981-96-7277-6_1

Time Effect of Anxiety Stimuli on EEG Data Discovered by Wavelet and Data Mining Analysis

Abstract

Publication series

Conference

Keywords

UN SDGs

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Time Effect of Anxiety Stimuli on EEG Data Discovered by Wavelet and Data Mining Analysis

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Other files and links

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Reinforcement Learning Algorithms for Brain-Robot interaction

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