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

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 accuracy is f...

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Detalles Bibliográficos
Autores principales: Yu, Jia-Le, Su, Yun-Fei, Zhang, Chen, Jin, Li, Lin, Xian-Hua, Chen, Lu-Ting, Huang, He-Feng, Wu, Yan-Ting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9375297/
https://www.ncbi.nlm.nih.gov/pubmed/35964035
http://dx.doi.org/10.1186/s12958-022-00993-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9375297/
https://www.ncbi.nlm.nih.gov/pubmed/35964035
http://dx.doi.org/10.1186/s12958-022-00993-4

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