Towards Predicting Polycystic Ovary Syndrome with a Novel Smartphone-based Biomedical Application Lyfas

Subhagata Chattopadhyay, Rupam Das
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.
more » ... thods and Material: A retrospective double-blind control trial has been conducted on a mixed population of PCOS (N=218) and healthy (N=153) participants. The cohort is further divided into a) 'Forward miners or FM' (N=210: PCOS 135, healthy 75), where Lyfas has been used to mine the 'significant' HRVBs of PCOS, and b) 'Reverse mappers or RM' (N=161), where Lyfas decisions, based on the 'significant' HRVBs are validated by a panel of gynecologists.
doi:10.5099/aj220200072 fatcat:u22z54ywvfeb7ep62r4i3gijx4