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Digital contraceptives based on basal body temperature measurements

机译:基于基础体温测量的数字避孕药

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Digital contraceptives and fertility awareness products are currently offered as convenient smartphone applications. The first legitimate contraceptive smartphone app was recently introduced on the European market, with the digital processing based on measurements of the female user's basal body temperature (BBT). According to recent pilot market data, at some Swedish hospitals, up to 5-10% of women seeking abortion had become involuntarily pregnant while using the product. This fact motivates a review of the research on fertility determination based on BBT measurements. This paper provides the first estimation theoretical review and evaluation of BBT-based ovulation detection. From an engineering perspective, it is concluded that the available detection algorithms have similar performance and that the performance is rather insensitive to a one- or two-decimal resolution of the employed thermometer. Further, we highlight that when using the output from proposed ovulation detection algorithms, one must consider not only the uncertainty in the relative time difference of the detected temperature shift and the ovulation, but also the statistical uncertainty of the detection methods due to noisy measurements. (C) 2019 The Authors. Published by Elsevier Ltd.
机译:当前提供数字避孕和生育意识产品作为便捷的智能手机应用程序。最近,第一个合法的避孕智能手机应用程序已在欧洲市场上推出,其数字处理基于女性用户的基本体温(BBT)的测量。根据最近的试点市场数据,在瑞典的一些医院中,多达5-10%的寻求堕胎的妇女在使用该产品时自愿怀孕。这一事实促使人们对基于BBT测量的生育力确定研究进行了回顾。本文提供了基于BBT的排卵检测的首次估算理论综述和评估。从工程角度看,可以得出结论,可用的检测算法具有相似的性能,并且该性能对所用温度计的一或二进制分辨率不敏感。此外,我们强调指出,当使用提议的排卵检测算法的输出时,不仅必须考虑检测到的温度变化和排卵的相对时间差的不确定性,还必须考虑由于噪声测量而导致的检测方法的统计不确定性。 (C)2019作者。由Elsevier Ltd.发布

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