Psychophysiological stress control via heart rate entrainment

R.H. Cuijpers; E.T. Kersten - van Dijk; S. Longhi; E. Marchegiani; A. Monteriù

doi:10.1109/ZINC.2019.8769370

Psychophysiological stress control via heart rate entrainment

R.H. Cuijpers, E.T. Kersten - van Dijk, S. Longhi, E. Marchegiani, A. Monteriù

Human Technology Interaction

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

1 Citation (Scopus)

1 Downloads (Pure)

Abstract

The aim of this work is to develop a real-time system able to classify and passively reduce stress. Heart Rate (HR) and Skin Conductance Response (SCR) are used for stress classification. Entrainment phenomenon is exploited as a possible way to reduce stress via an auditory stimulus. A Support Vector Machine (SVM) produces 84% of stress classification accuracy and a slight effect is obtained for stress reduction.

Original language	English
Title of host publication	2019 Zooming Innovation in Consumer Technologies Conference, ZINC 2019
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	9-10
Number of pages	2
ISBN (Electronic)	978-1-7281-2901-3
DOIs	https://doi.org/10.1109/ZINC.2019.8769370
Publication status	Published - 1 May 2019
Event	2019 Zooming Innovation in Consumer Technologies Conference, ZINC 2019 - Novi Sad, Serbia Duration: 29 May 2019 → 30 May 2019

Conference

Conference	2019 Zooming Innovation in Consumer Technologies Conference, ZINC 2019
Country/Territory	Serbia
City	Novi Sad
Period	29/05/19 → 30/05/19

Keywords

Entrainment
Stress classification
Stress reduction
SVM

Access to Document

10.1109/ZINC.2019.8769370

Cite this

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title = "Psychophysiological stress control via heart rate entrainment",

abstract = "The aim of this work is to develop a real-time system able to classify and passively reduce stress. Heart Rate (HR) and Skin Conductance Response (SCR) are used for stress classification. Entrainment phenomenon is exploited as a possible way to reduce stress via an auditory stimulus. A Support Vector Machine (SVM) produces 84% of stress classification accuracy and a slight effect is obtained for stress reduction.",

keywords = "Entrainment, Stress classification, Stress reduction, SVM",

author = "R.H. Cuijpers and {Kersten - van Dijk}, E.T. and S. Longhi and E. Marchegiani and A. Monteri{\`u}",

year = "2019",

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doi = "10.1109/ZINC.2019.8769370",

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booktitle = "2019 Zooming Innovation in Consumer Technologies Conference, ZINC 2019",

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Cuijpers, RH, Kersten - van Dijk, ET, Longhi, S, Marchegiani, E & Monteriù, A 2019, Psychophysiological stress control via heart rate entrainment. in 2019 Zooming Innovation in Consumer Technologies Conference, ZINC 2019., 8769370, Institute of Electrical and Electronics Engineers, Piscataway, pp. 9-10, 2019 Zooming Innovation in Consumer Technologies Conference, ZINC 2019, Novi Sad, Serbia, 29/05/19. https://doi.org/10.1109/ZINC.2019.8769370

Psychophysiological stress control via heart rate entrainment. / Cuijpers, R.H.; Kersten - van Dijk, E.T.; Longhi, S. et al.
2019 Zooming Innovation in Consumer Technologies Conference, ZINC 2019. Piscataway: Institute of Electrical and Electronics Engineers, 2019. p. 9-10 8769370.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

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AU - Kersten - van Dijk, E.T.

AU - Longhi, S.

AU - Marchegiani, E.

AU - Monteriù, A.

PY - 2019/5/1

Y1 - 2019/5/1

N2 - The aim of this work is to develop a real-time system able to classify and passively reduce stress. Heart Rate (HR) and Skin Conductance Response (SCR) are used for stress classification. Entrainment phenomenon is exploited as a possible way to reduce stress via an auditory stimulus. A Support Vector Machine (SVM) produces 84% of stress classification accuracy and a slight effect is obtained for stress reduction.

AB - The aim of this work is to develop a real-time system able to classify and passively reduce stress. Heart Rate (HR) and Skin Conductance Response (SCR) are used for stress classification. Entrainment phenomenon is exploited as a possible way to reduce stress via an auditory stimulus. A Support Vector Machine (SVM) produces 84% of stress classification accuracy and a slight effect is obtained for stress reduction.

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KW - Stress classification

KW - Stress reduction

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DO - 10.1109/ZINC.2019.8769370

M3 - Conference contribution

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PB - Institute of Electrical and Electronics Engineers

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ER -

Psychophysiological stress control via heart rate entrainment

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