Changes in Heart Rate Dynamics with Menstrual Cycles

Emi Yuda; Junichiro Hayano

doi:10.1007/978-3-030-33585-4_14

Changes in Heart Rate Dynamics with Menstrual Cycles

Emi Yuda, Junichiro Hayano

INF - Graduate School of Information Sciences (department affiliation only)

Nagoya City University

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

Abstract

Accurate prediction of the ovulation and menstrual days by bio-signals that can be easily measured is the wish of many women, and technological development for that will greatly contribute to women’s QOL. Although many studies have reported the differences in autonomic indices of heart rate variability (HRV) between the follicular and luteal phases, they have not yet reached the level that can predict the phases in the menstrual cycle. The dynamics of heart rate, however, carries plenty of information, and only a limited part of them has been examined in these studies. In this study, we conducted a comprehensive analysis of currently known HRV and heart rate dynamics measures in relation to the menstrual cycle.

Original language	English
Title of host publication	Intelligent Computing and Optimization - Proceedings of the 2nd International Conference on Intelligent Computing and Optimization, ICO 2019
Editors	Pandian Vasant, Ivan Zelinka, Gerhard-Wilhelm Weber
Publisher	Springer
Pages	138-147
Number of pages	10
ISBN (Print)	9783030335847
DOIs	https://doi.org/10.1007/978-3-030-33585-4_14
Publication status	Published - 2020
Event	2nd International Conference on Intelligent Computing and Optimization, ICO 2019 - Koh Samui, Thailand Duration: 2019 Oct 3 → 2019 Oct 4

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1072
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	2nd International Conference on Intelligent Computing and Optimization, ICO 2019
Country/Territory	Thailand
City	Koh Samui
Period	19/10/3 → 19/10/4

Keywords

Heart rate dynamics
Heart rate variability
Menstrual cycle

Access to Document

10.1007/978-3-030-33585-4_14

Cite this

Yuda, E., & Hayano, J. (2020). Changes in Heart Rate Dynamics with Menstrual Cycles. In P. Vasant, I. Zelinka, & G-W. Weber (Eds.), Intelligent Computing and Optimization - Proceedings of the 2nd International Conference on Intelligent Computing and Optimization, ICO 2019 (pp. 138-147). (Advances in Intelligent Systems and Computing; Vol. 1072). Springer. https://doi.org/10.1007/978-3-030-33585-4_14

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title = "Changes in Heart Rate Dynamics with Menstrual Cycles",

abstract = "Accurate prediction of the ovulation and menstrual days by bio-signals that can be easily measured is the wish of many women, and technological development for that will greatly contribute to women{\textquoteright}s QOL. Although many studies have reported the differences in autonomic indices of heart rate variability (HRV) between the follicular and luteal phases, they have not yet reached the level that can predict the phases in the menstrual cycle. The dynamics of heart rate, however, carries plenty of information, and only a limited part of them has been examined in these studies. In this study, we conducted a comprehensive analysis of currently known HRV and heart rate dynamics measures in relation to the menstrual cycle.",

keywords = "Heart rate dynamics, Heart rate variability, Menstrual cycle",

author = "Emi Yuda and Junichiro Hayano",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 2nd International Conference on Intelligent Computing and Optimization, ICO 2019 ; Conference date: 03-10-2019 Through 04-10-2019",

year = "2020",

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language = "English",

isbn = "9783030335847",

series = "Advances in Intelligent Systems and Computing",

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Yuda, E & Hayano, J 2020, Changes in Heart Rate Dynamics with Menstrual Cycles. in P Vasant, I Zelinka & G-W Weber (eds), Intelligent Computing and Optimization - Proceedings of the 2nd International Conference on Intelligent Computing and Optimization, ICO 2019. Advances in Intelligent Systems and Computing, vol. 1072, Springer, pp. 138-147, 2nd International Conference on Intelligent Computing and Optimization, ICO 2019, Koh Samui, Thailand, 19/10/3. https://doi.org/10.1007/978-3-030-33585-4_14

Changes in Heart Rate Dynamics with Menstrual Cycles. / Yuda, Emi; Hayano, Junichiro.
Intelligent Computing and Optimization - Proceedings of the 2nd International Conference on Intelligent Computing and Optimization, ICO 2019. ed. / Pandian Vasant; Ivan Zelinka; Gerhard-Wilhelm Weber. Springer, 2020. p. 138-147 (Advances in Intelligent Systems and Computing; Vol. 1072).

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

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AB - Accurate prediction of the ovulation and menstrual days by bio-signals that can be easily measured is the wish of many women, and technological development for that will greatly contribute to women’s QOL. Although many studies have reported the differences in autonomic indices of heart rate variability (HRV) between the follicular and luteal phases, they have not yet reached the level that can predict the phases in the menstrual cycle. The dynamics of heart rate, however, carries plenty of information, and only a limited part of them has been examined in these studies. In this study, we conducted a comprehensive analysis of currently known HRV and heart rate dynamics measures in relation to the menstrual cycle.

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Changes in Heart Rate Dynamics with Menstrual Cycles

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