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- W3048168570 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." @default.
- W3048168570 created "2020-08-13" @default.
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- W3048168570 date "2021-01-01" @default.
- W3048168570 modified "2023-09-26" @default.
- W3048168570 title "Prediction of Menstrual Cycle Phase by Wearable Heart Rate Sensor" @default.
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- W3048168570 doi "https://doi.org/10.4018/978-1-7998-3970-5.ch001" @default.
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