Evaluating the Accuracy of O’Tracker: A Stick-To-Skin Wireless BBT Sensor to Identify Fertility Window

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Girish Godbole
Gautam Morey
Navani Tawar
Ayesha Rathod


Objective: The study identifies the event of ovulation using an IoT-based device called “O’Tracker” in contrast with the
transvaginal ultrasound in trying to conceive women.
Methods: This prospective study includes a total of 30 cycles from 27 women who were trying to conceive. They were asked to use the O’Tracker device from the 10th day of their menstrual cycle to the 18th day, i.e., 8 days for 7 hours per night.
Result: In the conclusive evaluation, a total of 30 cycles underwent scrutiny, wherein the O’Tracker predictions of the
ovulation window were aligned with physicians’ predicted ovulation window from the USG reports in 27 cycles, indicating
a commendable accuracy rate of 90%. Upon proximity to the ovulation window predicted by O’Tracker with those derived
from the USG report (considered as the ground truth for validation) the concordance was observed in 25 out of 27 accurately
predicted ovulatory cycles. Furthermore, when compared to the physician-predicted ovulation window from USG reports,
O’Tracker exhibited concordance in 23 out of 27 cycles.
Conclusion: The study evaluation reveals that O’Tracker attains a 90% accuracy in predicting ovulation as compared to
physician assessment, demonstrating a match rate exceeding 90% with fertile windows ascertained through ultrasound
monitoring. This level of precision stands on with established traditional diagnostics methodologies. O’Tracker manifests a
user-friendly and accessible digital ovulation monitoring platform.


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How to Cite
Godbole, G. ., Morey, G. ., Tawar, N. ., & Rathod, A. . (2024). Evaluating the Accuracy of O’Tracker: A Stick-To-Skin Wireless BBT Sensor to Identify Fertility Window. International Journal of Health Technology and Innovation, 3(01), 5–10. https://doi.org/10.60142/ijhti.v3i01.02
Research Article


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