Abstract
OBJECTIVE: To investigate standardized temperature measurement protocols and intelligent data processing methods to improve ovulation prediction accuracy. METHOD: Based on Arksey and O'Malley's scoping review reporting framework, relevant publications from August 15, 2014, to August 15, 2024, were retrieved from the MEDLINE, EMBASE, SCOPUS, and Web of Science databases. The publications were screened, summarized, and evaluated according to the Critical Appraisal Skills Programme to assess their rigor. RESULTS: A total of 21 publications reporting studies from 9 countries involving 26,044 participants were included. Fertility tracking system measurement devices based on basal body temperature (BBT) included wearable devices and basal body thermometers. The application functions included menstrual assessment, fertility prediction, contraception, and pregnancy management. The applications were evaluated in terms of functionality and user experience. CONCLUSION: Research into the application of fertility tracking based on BBT remains in the preliminary stage. The findings of this study provide a valuable reference for the development of personalized and convenient applications, which requires high-quality prospective cohort research.