Fertility Awareness · Biomarkers

Pulse Rate Measurement During Sleep Using Wearable Sensors, and its Correlation with the Menstrual Cycle Phases, A Prospective Observational Study

Shilaih M, Clerck V, Falco L, Kübler F, Leeners B

Published May 2, 2017 Scientific Reports, 7(1), 1294
DOI 10.1038/s41598-017-01433-9 PMID 28465583 PMC PMC5431053

RRM Academy Synopsis

Sleeping pulse rate rises in the fertile window, wrist sensor study

A wrist sensor found sleeping pulse rate 2.1 beats per minute higher in the fertile window than during menstruation. The study followed 91 healthy women across 274 cycles. Pulse peaked in the mid-luteal phase, 3.8 beats per minute above menstruation.

Study at a glance, prospective observational study: Sleeping pulse rate was 2.1 beats per minute higher in the fertile window
Study at a glance, prospective observational study of 91 healthy women: Sleeping pulse rate was 2.1 beats per minute higher in the fertile window. Source: Shilaih M et al., 2017, PMID 28465583.

Key Findings

  • The study recorded 274 ovulatory cycles from 91 healthy, non-pregnant women. Mean ovulatory cycle length was 27.3 days (±2.7).
  • Median pulse rate in the fertile window (OV-5 to OV) was 2.1 beat-per-minute higher than in the menstrual phase (SE 0.2, p < 0.01).
  • Mid-luteal pulse rate (OV + 3 to OV + 9) was 1.8 BPM above the fertile window (SE 0.1) and 3.8 BPM above menstruation (SE 0.2), p < 0.01.
  • In 56 irregular cycles, pulse rate rose 1.8 BPM (SE 0.35) into the fertile window and 3.2 BPM (SE 0.35) into the mid-luteal phase, p < 0.01.

Interpretation

This prospective observational study followed 91 healthy women across 274 ovulatory cycles. A wrist sensor tracked sleeping pulse rate through confirmed ovulation. Pulse rate rose through the cycle, climbing into the fertile window and peaking in the mid-luteal phase. The same rise showed up in cycles with irregular timing. The authors call for studies in more diverse groups to confirm how widely the pattern holds.

RRM Context

The authors suggest pulse rate as a new sign for fertility awareness-based methods. Such methods read the cycle from body signs, such as cervical mucus and basal body temperature. A wrist sensor adds one more sign, measured during sleep.

Abstract

An affordable, user-friendly fertility-monitoring tool remains an unmet need. We examine in this study the correlation between pulse rate (PR) and the menstrual phases using wrist-worn PR sensors. 91 healthy, non-pregnant women, between 22-42 years old, were recruited for a prospective-observational clinical trial. Participants measured PR during sleep using wrist-worn bracelets with photoplethysmographic sensors. Ovulation day was estimated with "Clearblue Digital-Ovulation-urine test". Potential behavioral and nutritional confounders were collected daily. 274 ovulatory cycles were recorded from 91 eligible women, with a mean cycle length of 27.3 days (±2.7). We observed a significant increase in PR during the fertile window compared to the menstrual phase (2.1 beat-per-minute, p < 0.01). Moreover, PR during the mid-luteal phase was also significantly elevated compared to the fertile window (1.8 beat-per-minute, p < 0.01), and the menstrual phase (3.8 beat-per-minute, p < 0.01). PR increase in the ovulatory and mid-luteal phase was robust to adjustment for the collected confounders. There is a significant increase of the fertile-window PR (collected during sleep) compared to the menstrual phase. The aforementioned association was robust to the inter- and intra-person variability of menstrual-cycle length, behavioral, and nutritional profiles. Hence, PR monitoring using wearable sensors could be used as one parameter within a multi-parameter fertility awareness-based method.

Topics

By this author

Related research

Fertility Awareness › Biomarkers › Urinary Hormone Monitoring · Menstrual Cycle › Cycle Biomarkers › Basal Body Temperature · Reproductive Endocrinology › Ovulation Physiology › Follicular Development
Mohaned Shilaih, Valérie de Clerck, Lisa Falco, Florian Kübler, Brigitte Leeners
M Shilaih, V Clerck, L Falco, F Kübler, B Leeners
PMID 28465583 28465583 DOI 10.1038/s41598-017-01433-9 10.1038/s41598-017-01433-9 Shilaih et al. 2017, Shilaih 2017