Ultradian rhythms in heart rate variability and distal body temperature anticipate onset of the luteinizing hormone surge.
Ultradian rhythms in heart rate variability and distal body temperature anticipate onset of the luteinizing hormone surge.
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DOI：
10.1038/s41598-020-76236-6
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发表时间：
2020-11-23
影响因子：
4.6
通讯作者：
Kriegsfeld LJ
中科院分区：
文献类型：
--
作者：
Grant AD;Newman M;Kriegsfeld LJ
月经周期的特征在于跨时间尺度的可预测的生理变化模式。虽然整个月经周期的生殖激素模式，特别是超日节律，被很好地描述，反复监测这些措施来预测排卵前促黄体生成素（LH）激增是不切实际的。在本研究中，我们探讨了非侵入性措施耦合到生殖系统：高频远端体温（DBT），睡眠心率（HR），睡眠心率变异性（HRV）和睡眠时间，可用于预测排卵前LH激增的妇女。为了测试这种可能性，我们使用信号处理来检查这些措施，在45个绝经前和10个围绝经期周期的超峰阈值LH和月经的日期。此外，在20个周期中，每天测量LH峰周围的尿雌二醇和孕酮代谢产物。小波分析揭示了一致的模式DBT和HRV超日节律（2-5小时）的权力，独特的LH峰的预期至少2天前，在100%的个人发病。总之，目前的研究结果揭示了远端体温和心率变异性的波动，一致预期LH激增，这表明自动化超日节律监测可能提供一种新的和方便的方法，无创生育力评估。
The menstrual cycle is characterized by predictable patterns of physiological change across timescales. Although patterns of reproductive hormones across the menstrual cycle, particularly ultradian rhythms, are well described, monitoring these measures repeatedly to predict the preovulatory luteinizing hormone (LH) surge is not practical. In the present study, we explored whether non-invasive measures coupled to the reproductive system: high frequency distal body temperature (DBT), sleeping heart rate (HR), sleeping heart rate variability (HRV), and sleep timing, could be used to anticipate the preovulatory LH surge in women. To test this possibility, we used signal processing to examine these measures in 45 premenopausal and 10 perimenopausal cycles alongside dates of supra-surge threshold LH and menstruation. Additionally, urinary estradiol and progesterone metabolites were measured daily surrounding the LH surge in 20 cycles. Wavelet analysis revealed a consistent pattern of DBT and HRV ultradian rhythm (2–5 h) power that uniquely enabled anticipation of the LH surge at least 2 days prior to its onset in 100% of individuals. Together, the present findings reveal fluctuations in distal body temperature and heart rate variability that consistently anticipate the LH surge, suggesting that automated ultradian rhythm monitoring may provide a novel and convenient method for non-invasive fertility assessment.
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影响因子：
6.7
作者：
Ecochard, Rene;Duterque, Olivia;Vigil, Pilar
通讯作者：
Vigil, Pilar
影响因子：
6.7
作者：
Direito, Ana;Bailly, Sebastien;Ecochard, Rene
通讯作者：
Ecochard, Rene
影响因子：
5.8
作者：
Booth, RA;Weltman, JY;Evans, WS
通讯作者：
Evans, WS
影响因子：
3.2
作者：
BACKSTROM, CT;MCNEILLY, AS;BAIRD, DT
通讯作者：
BAIRD, DT
DOI：
10.1145/3025453.3025635
发表时间：
2017-05-02
期刊：
Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference
影响因子：
--
作者：
Epstein DA;Lee NB;Kang JH;Agapie E;Schroeder J;Pina LR;Fogarty J;Kientz JA;Munson SA
通讯作者：
Munson SA