Tracking of menstrual cycles and prediction of the fertile window via measurements of basal body temperature and heart rate as well as machine-learning algorithms

• Hoofdauteurs: Jia-Le Yu (Auteur), Yun-Fei Su (Auteur), Chen Zhang (Auteur), Li Jin (Auteur), Xian-Hua Lin (Auteur), Lu-Ting Chen (Auteur), He-Feng Huang (Auteur), Yan-Ting Wu (Auteur)
• Formaat: Boek
• Gepubliceerd in: BMC, 2022-08-01T00:00:00Z.
• Onderwerpen: article
• Online toegang: Connect to this object online.

Abstract Background Fertility awareness and menses prediction are important for improving fecundability and health management. Previous studies have used physiological parameters, such as basal body temperature (BBT) and heart rate (HR), to predict the fertile window and menses. However, their accur...