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Towards Predicting Polycystic Ovary Syndrome with a Novel Smartphone-based Biomedical Application Lyfas
2022
American Journal of Biomedical Sciences
Polycystic Ovary Syndrome (PCOS) adversely affects reproductive and metabolic health. It mandates early detection. Lyfas is a mHealth instrument, which is a personalized, fast, non-invasive, and pervasive smartphone-based application. It captures Heart rate variability and its biomarkers (HRVBs) by finger touch on the phone camera. HRVBs are a surrogate for cardiac autonomic modulation that occurs in PCOS. Objective: Early prediction of PCOS by Lyfas HRVBs and its validation by gynecologists.
doi:10.5099/aj220200072
fatcat:u22z54ywvfeb7ep62r4i3gijx4