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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...
Autores principales: | Yu, Jia-Le, Su, Yun-Fei, Zhang, Chen, Jin, Li, Lin, Xian-Hua, Chen, Lu-Ting, Huang, He-Feng, Wu, Yan-Ting |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
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 |
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