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^*

^*Korrespondierende*r Autor*in für diese Arbeit

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

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.

Originalsprache	Englisch
Titel des Sammelwerks	Information Systems and Neuroscience
Untertitel des Sammelwerks	NeuroIS Retreat 2022
Herausgeber*innen	Fred D. Davis, René Riedl, Jan vom Brocke, Pierre-Majorique Léger, Adriane B. Randolph, Gernot R. Müller-Putz
Erscheinungsort	Cham
Verlag	Springer
Seiten	219-227
ISBN (elektronisch)	978-3-031-13064-9
ISBN (Print)	978-3-031-13063-2
DOIs	https://doi.org/10.1007/978-3-031-13064-9_23
Publikationsstatus	Veröffentlicht - 2022

Publikationsreihe

Reihe	Lecture Notes in Information Systems and Organisation
Band	58
ISSN	2195-4968

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

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Zitat

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

@inproceedings{e878a5d951534fd8a37590fa6acc7698,

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}",

year = "2022",

doi = "10.1007/978-3-031-13064-9_23",

language = "English",

isbn = "978-3-031-13063-2",

series = "Lecture Notes in Information Systems and Organisation",

publisher = "Springer",

pages = "219--227",

editor = "Davis, {Fred D.} and Ren{\'e} Riedl and {vom Brocke}, {Jan } and Pierre-Majorique L{\'e}ger and Randolph, {Adriane B.} and M{\"u}ller-Putz, {Gernot R.}",

booktitle = "Information Systems and Neuroscience",

address = "Germany",

}

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

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

TY - GEN

T1 - New Measurement Analysis for Emotion Detection using ECG Data

AU - Dorner, Verena

AU - Uribe Ortiz, Cesar Enrique

PY - 2022

Y1 - 2022

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.

KW - EEG

KW - Heart Rate Variability

KW - Algorithm

KW - Experiment

U2 - 10.1007/978-3-031-13064-9_23

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

M3 - Contribution to conference proceedings

SN - 978-3-031-13063-2

T3 - Lecture Notes in Information Systems and Organisation

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EP - 227

BT - Information Systems and Neuroscience

A2 - Davis, Fred D.

A2 - Riedl, René

A2 - vom Brocke, Jan

A2 - Léger, Pierre-Majorique

A2 - Randolph, Adriane B.

A2 - Müller-Putz, Gernot R.

PB - Springer

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