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Junichiro Hayano
Nagoya City University
240Publications
39H-index
6,570Citations
Publications 238
Newest
#1Kanawat Paoin (Kyoto University)
#2Kayo Ueda (Kyoto University)H-Index: 16
Last.Hirohisa Takano (Kyoto University)H-Index: 30
view all 9 authors...
A reduction in heart rate variability (HRV) is reportedly associated with an increased risk of cardiovascular mortality and morbidity. In previous studies, an inverse association was noted between HRV and particulate air pollution, but the sample populations were small and most consisted only of elderly individuals. We examined the association between 24-h HRV and fine particulate matter (PM2.5) in a large study population spanning 7 prefectures in Japan from April 2010 through March 2013. Meta-...
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#1Junichiro Hayano (Nagoya City University)H-Index: 39
#2Emi Yuda (Nagoya City University)H-Index: 5
Although analysis of heart rate variability is widely used for the assessment of autonomic function, its fundamental framework linking low-frequency and high-frequency components of heart rate variability with sympathetic and parasympathetic autonomic divisions has developed in the 1980s. This simplified framework is no longer able to deal with much evidence about heart rate variability accumulated over the past half-century. This review addresses the pitfalls caused by the old framework and dis...
2 CitationsSource
#1Emi Yuda (Tohoku University)H-Index: 5
#2Junichiro Hayano (Nagoya City University)H-Index: 39
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 infor...
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#2Kayo UedaH-Index: 16
Last.Hirohisa TakanoH-Index: 47
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#1Emi Yuda (Tohoku University)H-Index: 5
#2Yutaka Yoshida (Nagoya City University)H-Index: 6
Last.Junichiro Hayano (Nagoya City University)H-Index: 39
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To examine the influences of reduced physical activity on the circadian architecture of heart rate, we performed big data analysis on the effect of relative time spent in the lying position on the timing and level of basal heart rate (BHR, 24-h minimum heart rate). In the big data of simultaneously recorded 24-h electrocardiogram and triaxial acceleration in 12,530 men and 17,529 women, BHR was found to occur at the median [IQR] of 04:07 [01:35- 05:35] in men and 03:50 [01:35-05:53] in women. Th...
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Machine-Learning Estimation of Body Posture and Physical Activity by Wearable Acceleration and Heartbeat Sensors
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#1Emi Yuda (Nagoya City University)H-Index: 5
#2Kento Yamamoto (University of Tsukuba)
Last.Junichiro Hayano (Nagoya City University)H-Index: 39
view all 4 authors...
Blue light rich in melanopsin-stimulating component is known to induce cardiac parasympathetic suppression and psychomotor arousal while other colors of illumination show no such effects. This study examined the effects of blue light rich illumination on autonomic response to exercise. Hear rate recovery responses after ergometer exercise under blue and amber illumination were compared in healthy subjects. The time required for heart rate to return to 50% of the increase due to exercise was long...
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#1Junichiro HayanoH-Index: 39
#2Masaya KisoharaH-Index: 2
Last.Emi YudaH-Index: 5
view all 4 authors...
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#1Emi Yuda (Nagoya City University)H-Index: 5
Last.Junichiro Hayano (Nagoya City University)H-Index: 39
view all 5 authors...
To examine the basic characteristics of pulse rate variability (PRV) during work, pulse wave signals during work hours were recorded by wristband-type wearable sensors in 8 office workers for 1–3 months together with the signals of physical activity, skin temperature, and the amount of conversation and with subjective emotions. A total of 1,544 hours of data were obtained. Pulse rate increased during physical activity and decreased during dozing. Although high frequency (HF) component of heart r...
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#1Junichiro Hayano (Nagoya City University)H-Index: 39
#2Sayo Toramoto (Daikin)
Last.Emi Yuda (Nagoya City University)H-Index: 5
view all 4 authors...
A variety of biosignal monitors provide pulse wave signal during sleep. This study examined if pulse rate fluctuation obtained from these signals can be used for detecting cyclic variation of heart rate (CVHR) that accompanies sleep apnea episodes during sleep. We found that the transfer function from heart rate to pulse rate in the very low-frequency band (0.0033-0.04 Hz) is a determinant of the ability of the pulse wave signal to detect CVHR.
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