Changes in Heart Rate Dynamics with Menstrual Cycles

Emi Yuda, Junichiro Hayano

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationIntelligent Computing and Optimization - Proceedings of the 2nd International Conference on Intelligent Computing and Optimization, ICO 2019
EditorsPandian Vasant, Ivan Zelinka, Gerhard-Wilhelm Weber
PublisherSpringer
Pages138-147
Number of pages10
ISBN (Print)9783030335847
DOIs
Publication statusPublished - 2020
Event2nd International Conference on Intelligent Computing and Optimization, ICO 2019 - Koh Samui, Thailand
Duration: 2019 Oct 32019 Oct 4

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1072
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference2nd International Conference on Intelligent Computing and Optimization, ICO 2019
CountryThailand
CityKoh Samui
Period19/10/319/10/4

Keywords

  • Heart rate dynamics
  • Heart rate variability
  • Menstrual cycle

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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