Unknown

Dataset Information

Can Wrist-Worn Medical Devices Correctly Identify Ovulation?


ABSTRACT: (1) Background: Hormonal fluctuations across the menstrual cycle lead to multiple changes in physiological parameters such as body temperature, cardiovascular function, respiratory rate and perfusion. Electronic wearables analyzing those parameters might present a convenient alternative to urinary ovulation tests for predicting the fertile window. (2) Methods: We conducted a prospective observational study including women aged 18-45 years without current hormonal therapy who used a wrist-worn medical device and urinary ovulation tests for a minimum of three cycles. We analyzed the accuracy of both the retrospective and prospective algorithms using a generalized linear mixed-effects model. The findings were compared to real-world data from bracelet users who also reported urinary ovulation

SUBMITTER: Niggli A 

PROVIDER: S-EPMC10747116 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature