Prediction of Menstrual Cycle Phase by Wearable Heart Rate Sensor

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Author(s): Junichiro Hayano (Graduate School of Medical Sciences, Nagoya City University, Japan)and Emi Yuda (Graduate School of Engineering, Tohoku University, Japan)
Copyright: 2021
Pages: 15
Source title: Research Advancements in Smart Technology, Optimization, and Renewable Energy
Source Author(s)/Editor(s): Pandian Vasant (University of Technology Petronas, Malaysia), Gerhard Weber (Poznan University of Technology, Poland)and Wonsiri Punurai (Mahidol University, Thailand)
DOI: 10.4018/978-1-7998-3970-5.ch001

Keywords: Computational Intelligence / Computer Science & IT / Electrical and Electronics Engineering / Engineering Science Reference

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Abstract

The prediction of the menstrual cycle phase and fertility window by easily measurable bio-signals is an unmet need and such technological development will greatly contribute to women's QoL. Although many studies have reported differences in autonomic indices of heart rate variability (HRV) between follicular and luteal phases, they have not yet reached the level that can predict the menstrual cycle phases. The recent development of wearable sensors-enabled heart rate monitoring during daily life. The long-term heart rate data obtained by them carry plenty of information, and the information that can be extracted by conventional HRV analysis is only a limited part of it. This chapter introduces comprehensive analyses of long-term heart rate data that may be useful for revealing their associations with the menstrual cycle phase.

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Prediction of Menstrual Cycle Phase by Wearable Heart Rate Sensor

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