New Measurement Analysis for Emotion Detection using ECG Data

Verena Dorner; Cesar Enrique Uribe Ortiz

doi:10.1007/978-3-031-13064-9_23

New Measurement Analysis for Emotion Detection using ECG Data

Verena Dorner, Cesar Enrique Uribe Ortiz^*

^*Corresponding author for this work

Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

Abstract

Electrocardiography (ECG) offers a lot of information that can be processed to make inferences about levels of arousal, stress, and emotions. One of the most popular measures is the Heart Rate Variability (HRV), a measure of the variation on the heart beats, which is only taken from one heart movement of the cardiac cycle, the R-wave. We explore the other heart movements of the cardiac cycle observed in the ECG with the aim of deriving new proxy measures for stress and arousal to enrich and complement HRV analysis. This article discusses existing approaches, suggests new measurements for stress and arousal detected in an ECG, and examines their potential to contribute new information based on their correlations with two HRV measures.

Original language	English
Title of host publication	Information Systems and Neuroscience
Subtitle of host publication	NeuroIS Retreat 2022
Editors	Fred D. Davis, René Riedl, Jan vom Brocke, Pierre-Majorique Léger, Adriane B. Randolph, Gernot R. Müller-Putz
Place of Publication	Cham
Publisher	Springer
Pages	219-227
ISBN (Electronic)	978-3-031-13064-9
ISBN (Print)	978-3-031-13063-2
DOIs	https://doi.org/10.1007/978-3-031-13064-9_23
Publication status	Published - 2022

Publication series

Series	Lecture Notes in Information Systems and Organisation
Volume	58
ISSN	2195-4968

Keywords

EEG
Heart Rate Variability
Algorithm
Experiment

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10.1007/978-3-031-13064-9_23

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Dorner, V., & Uribe Ortiz, C. E. (2022). New Measurement Analysis for Emotion Detection using ECG Data. In F. D. Davis, R. Riedl, J. vom Brocke, P-M. Léger, A. B. Randolph, & G. R. Müller-Putz (Eds.), Information Systems and Neuroscience: NeuroIS Retreat 2022 (pp. 219-227). Springer. Lecture Notes in Information Systems and Organisation Vol. 58 https://doi.org/10.1007/978-3-031-13064-9_23

Dorner, Verena ; Uribe Ortiz, Cesar Enrique. / New Measurement Analysis for Emotion Detection using ECG Data. Information Systems and Neuroscience: NeuroIS Retreat 2022. editor / Fred D. Davis ; René Riedl ; Jan vom Brocke ; Pierre-Majorique Léger ; Adriane B. Randolph ; Gernot R. Müller-Putz. Cham : Springer, 2022. pp. 219-227 (Lecture Notes in Information Systems and Organisation, Vol. 58).

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title = "New Measurement Analysis for Emotion Detection using ECG Data",

abstract = "Electrocardiography (ECG) offers a lot of information that can be processed to make inferences about levels of arousal, stress, and emotions. One of the most popular measures is the Heart Rate Variability (HRV), a measure of the variation on the heart beats, which is only taken from one heart movement of the cardiac cycle, the R-wave. We explore the other heart movements of the cardiac cycle observed in the ECG with the aim of deriving new proxy measures for stress and arousal to enrich and complement HRV analysis. This article discusses existing approaches, suggests new measurements for stress and arousal detected in an ECG, and examines their potential to contribute new information based on their correlations with two HRV measures.",

keywords = "EEG, Heart Rate Variability, Algorithm, Experiment",

author = "Verena Dorner and {Uribe Ortiz}, {Cesar Enrique}",

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Dorner, V & Uribe Ortiz, CE 2022, New Measurement Analysis for Emotion Detection using ECG Data. in FD Davis, R Riedl, J vom Brocke, P-M Léger, AB Randolph & GR Müller-Putz (eds), Information Systems and Neuroscience: NeuroIS Retreat 2022. Springer, Cham, Lecture Notes in Information Systems and Organisation, vol. 58, pp. 219-227. https://doi.org/10.1007/978-3-031-13064-9_23

New Measurement Analysis for Emotion Detection using ECG Data. / Dorner, Verena; Uribe Ortiz, Cesar Enrique.

Information Systems and Neuroscience: NeuroIS Retreat 2022. ed. / Fred D. Davis; René Riedl; Jan vom Brocke; Pierre-Majorique Léger; Adriane B. Randolph; Gernot R. Müller-Putz. Cham : Springer, 2022. p. 219-227 (Lecture Notes in Information Systems and Organisation, Vol. 58).

Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

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AU - Uribe Ortiz, Cesar Enrique

PY - 2022

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N2 - Electrocardiography (ECG) offers a lot of information that can be processed to make inferences about levels of arousal, stress, and emotions. One of the most popular measures is the Heart Rate Variability (HRV), a measure of the variation on the heart beats, which is only taken from one heart movement of the cardiac cycle, the R-wave. We explore the other heart movements of the cardiac cycle observed in the ECG with the aim of deriving new proxy measures for stress and arousal to enrich and complement HRV analysis. This article discusses existing approaches, suggests new measurements for stress and arousal detected in an ECG, and examines their potential to contribute new information based on their correlations with two HRV measures.

AB - Electrocardiography (ECG) offers a lot of information that can be processed to make inferences about levels of arousal, stress, and emotions. One of the most popular measures is the Heart Rate Variability (HRV), a measure of the variation on the heart beats, which is only taken from one heart movement of the cardiac cycle, the R-wave. We explore the other heart movements of the cardiac cycle observed in the ECG with the aim of deriving new proxy measures for stress and arousal to enrich and complement HRV analysis. This article discusses existing approaches, suggests new measurements for stress and arousal detected in an ECG, and examines their potential to contribute new information based on their correlations with two HRV measures.

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KW - Algorithm

KW - Experiment

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Dorner V, Uribe Ortiz CE. New Measurement Analysis for Emotion Detection using ECG Data. In Davis FD, Riedl R, vom Brocke J, Léger P-M, Randolph AB, Müller-Putz GR, editors, Information Systems and Neuroscience: NeuroIS Retreat 2022. Cham: Springer. 2022. p. 219-227. (Lecture Notes in Information Systems and Organisation, Vol. 58). doi: 10.1007/978-3-031-13064-9_23