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Changes in Heart Rate Dynamics with Menstrual Cycles

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Intelligent Computing and Optimization (ICO 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1072))

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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.

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Authors and Affiliations

  1. Graduate School of Engineering, Tohoku University, Sendai, 980-8759, Japan

    Emi Yuda

  2. Graduate School of Medical Sciences, Nagoya City University, Nagoya, 467-8602, Japan

    Junichiro Hayano

Authors
  1. Emi Yuda
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  2. Junichiro Hayano
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Corresponding author

Correspondence to Junichiro Hayano .

Editor information

Editors and Affiliations

  1. Department of Fundamental and Applied Sciences, Universiti Teknologi Petronas, Tronoh, Perak, Malaysia

    Pandian Vasant

  2. Computer Science, FEI, VSB-TU Ostrava, Ostrava, Czech Republic

    Ivan Zelinka

  3. Faculty of Engineering Management, Poznan University of Technology, Poznan, Poland

    Gerhard-Wilhelm Weber

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Yuda, E., Hayano, J. (2020). Changes in Heart Rate Dynamics with Menstrual Cycles. In: Vasant, P., Zelinka, I., Weber, GW. (eds) Intelligent Computing and Optimization. ICO 2019. Advances in Intelligent Systems and Computing, vol 1072. Springer, Cham. https://doi.org/10.1007/978-3-030-33585-4_14

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