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创新性的排卵检测数字健康方法:当前方法和新兴技术综述。

Innovative Approaches to Digital Health in Ovulation Detection: A Review of Current Methods and Emerging Technologies.

机构信息

Quanovate Tech, San Francisco, California.

出版信息

Semin Reprod Med. 2024 Jun;42(2):81-89. doi: 10.1055/s-0044-1793829. Epub 2024 Nov 21.

DOI:10.1055/s-0044-1793829
Abstract

Ovulation is a vital sign, as significant as body temperature, heart rate, respiratory rate, and blood pressure, in assessing overall health and identifying potential health issues. Ovulation is a key event of the menstrual cycle that provides insights into the hormonal and reproductive health aspects. Affected by the orchestra of hormones, namely thyroid, prolactin, and androgens, disruptions in ovulation can indicate endocrinological conditions and lead to gynecological problems, such as heavy menstrual bleeding, irregular periods, amenorrhea, dysmenorrhea, and difficulties in getting pregnant. Monitoring ovulation and detecting disruptions can aid in the early detection of health issues, extending beyond reproductive health concerns. It can help identify underlying causes of symptoms like excessive fatigue and abnormal hair growth. The integration of digital health technologies, such as mobile apps using machine learning algorithms, wearables tracking temperature, heart rate, breath rate, and sleep patterns, and devices measuring reproductive hormones in urine or saliva samples, offers a wealth of opportunities in family planning, early health issue diagnosis, treatment adjustment, and tracking menstrual cycles during assisted reproductive techniques. These advancements provide a comprehensive approach to health monitoring, addressing both reproductive and overall health concerns.

摘要

排卵是一个重要的迹象,与体温、心率、呼吸率和血压一样重要,可用于评估整体健康状况和识别潜在的健康问题。排卵是月经周期中的一个关键事件,可深入了解激素和生殖健康方面的情况。受甲状腺、催乳素和雄激素等激素的影响,排卵障碍可能表明存在内分泌状况,并导致妇科问题,如月经过多、月经不规律、闭经、痛经和怀孕困难。监测排卵和发现排卵障碍有助于早期发现健康问题,不仅限于生殖健康问题。它可以帮助确定过度疲劳和异常毛发生长等症状的根本原因。数字健康技术的整合,如使用机器学习算法的移动应用程序、跟踪体温、心率、呼吸率和睡眠模式的可穿戴设备,以及测量尿液或唾液样本中生殖激素的设备,为计划生育、早期健康问题诊断、治疗调整以及在辅助生殖技术期间跟踪月经周期提供了丰富的机会。这些进展提供了一种全面的健康监测方法,既关注生殖健康,也关注整体健康。

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Digitally Enabled AI-Interpreted Salivary Ferning-Based Ovulation Prediction: Feasibility Study.基于唾液羊齿状结晶的数字化人工智能解读排卵预测:可行性研究。
J Med Internet Res. 2025 Aug 5;27:e73028. doi: 10.2196/73028.