Prediction of Menstrual Cycle Phase by Wearable Heart Rate Sensor

2021 ◽  
pp. 1-15
Author(s):  
Junichiro Hayano ◽  
Emi Yuda
Keyword(s):  
Heart Rate ◽  
Menstrual Cycle ◽  
Technological Development ◽  
Unmet Need ◽  
Cycle Phase ◽  
Rate Data ◽  
Menstrual Cycle Phase ◽  
Heart Rate Data ◽  
Rate Sensor

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.

No effect of menstrual cycle phase on lactate threshold

2003 ◽  
Vol 95 (6) ◽  
pp. 2537-2543 ◽  
Author(s):  
Teresa M. Dean ◽  
Leigh Perreault ◽  
Robert S. Mazzeo ◽  
Tracy J. Horton
Keyword(s):  
Heart Rate ◽  
Menstrual Cycle ◽  
Lactate Threshold ◽  
Maximal Exercise ◽  
Lactate Concentration ◽  
Cycle Phase ◽  
Maximal Heart Rate ◽  
Menstrual Cycle Phase ◽  
Exercise Tests ◽  
Normal Menstrual Cycle

No previous exercise studies in women have assessed the effects of the normal menstrual cycle on the lactate threshold (LT) measured during a graded, maximal exercise test. This is relevant to our understanding of exercise training and metabolism in eumenorrheic women. The present study, therefore, examined the effect of menstrual cycle phase on the LT. Eight moderately active, eumenorrheic women performed three maximal exercise tests with simultaneous determination of LT. Tests were performed in the early follicular (low estrogen and progesterone), midfollicular (elevated estrogen and low progesterone), and midluteal (elevated estrogen and progesterone) phases of the menstrual cycle. No significant differences were observed in LT measured across phases of the menstrual cycle whether data were expressed in absolute terms (1,299 ± 70, 1,364 ± 80, and 1,382 ± 71 ml O2/min, respectively) or relative to maximal oxygen uptake (V̇o2 max; 52.1 ± 1.7, 54.7 ± 1.7, and 55.7 ± 1.6%, respectively). In addition, there were no significant cycle phase differences in V̇o2 max, maximal heart rate, heart rate at LT, or final lactate concentration. With data combined across all phases of the menstrual cycle, there was a significant correlation between the LT and the epinephrine breakpoint ( r = 0.91, P < 0.0002) and norepinephrine breakpoint ( r = 0.94, P < 0.0001). For epinephrine only, there was close correspondence between the epinephrine breakpoint (ml O2/min) and the LT. In conclusion, LT as well as V̇o2 max and other measures of cardiorespiratory fitness are not significantly affected by the changing sex steroid levels observed across the normal menstrual cycle. Data suggest that the onset of the steep increase in epinephrine determines the LT during graded exercise.

Correlation in the heart rate data

1998 ◽  
Vol 2 ◽  
pp. 141-148
Author(s):  
J. Ulbikas ◽  
A. Čenys ◽  
D. Žemaitytė ◽  
G. Varoneckas
Keyword(s):  
Nonlinear Dynamics ◽  
Experimental Data ◽  
Heart Rate ◽  
Time Series ◽  
Cardiovascular Function ◽  
Statistical Properties ◽  
Rate Data ◽  
Heart Rate Data ◽  
Dynamical Nature ◽  
Analysis Of Time Series

Variety of methods of nonlinear dynamics have been used for possibility of an analysis of time series in experimental physiology. Dynamical nature of experimental data was checked using specific methods. Statistical properties of the heart rate have been investigated. Correlation between of cardiovascular function and statistical properties of both, heart rate and stroke volume, have been analyzed. Possibility to use a data from correlations in heart rate for monitoring of cardiovascular function was discussed.

Menstrual cycle phase and time of day alter reference signal controlling arm blood flow and sweating

1985 ◽  
Vol 249 (2) ◽  
pp. R186-R191 ◽  
Author(s):  
L. A. Stephenson ◽  
M. A. Kolka
Keyword(s):  
Blood Flow ◽  
Menstrual Cycle ◽  
Water Vapor Pressure ◽  
Reference Signal ◽  
Time Of Day ◽  
Cycle Phase ◽  
Menstrual Cycle Phase ◽  
Cutaneous Vasodilation ◽  
Effector Activity ◽  
Exercise Transients

The changes occurring in the esophageal temperature (Tes) thresholds for initiation of heat loss responses as affected by the circadian period and menstrual cycle were studied. Four women exercised at 60% peak Vo2 in 35 degrees C (ambient water vapor pressure 1.73 kPa) for 30 min at 0400 and 1600 during the follicular (F) and luteal (L) phase. Tes, arm sweating rate (msw), and forearm blood flow (FBF) were measured frequently. At rest, Tes averaged 0.3 degrees C higher during L than F at both 0400 and 1600 and approximately 0.4 degrees C higher at 1600 than at 0400 during both phases. During exercise transients, the slopes of the FBF:Tes and the msw:Tes relationships were not different among treatments. The thresholds for initiation of sweating and cutaneous vasodilation were higher at 1600 than 0400 during both phases. Thresholds during F at 0400 averaged 36.44 degrees C for msw and 36.80 degrees C for vasodilation. The thresholds during L at 1600 averaged 37.46 and 37.53 degrees C for sweating and vasodilation, respectively. Our data indicate that the thermoregulatory effector activity during exercise is a function of numerous inputs, and one of these may be hormonal or hormonal-like in action. Controlling time of day and menstrual cycle phase are as important as controlling for aerobic power, age, and fitness in studying female thermoregulatory responses during exercise.

The role of the menstrual cycle phase in pain perception before and after an isometric fatiguing contraction

2009 ◽  
Vol 106 (1) ◽  
pp. 105-112 ◽  
Author(s):  
Marie K. Hoeger Bement ◽  
Rebecca L. Rasiarmos ◽  
John M. DiCapo ◽  
Audrey Lewis ◽  
Manda L. Keller ◽  
...  
Keyword(s):  
Menstrual Cycle ◽  
Pain Perception ◽  
Cycle Phase ◽  
Menstrual Cycle Phase ◽  
Before And After
Sign in / Sign up

Export Citation Format

Share Document