Contact-Free Ovulation Tracker Detects Fertility Window

After learning a woman’s monthly pattern, Percept can predict the exact day of ovulation in over 60% of cycles within one day, and within two days of ovulation in over 75% of cycles. Additionally, the system can offer a six-day fertility window and precisely highlight the absolute best days to try to get pregnant within that fertility window. Percept can also predict when menses or period will start within 1.3 days (on average).

Users simply slide the device under their mattress and connect via Bluetooth to the Percept smartphone app, which allows them to seamlessly navigate both a Day View and Calendar View of their ovulation and menstrual cycles, as well as daily tips to help support the process. The system intuitively learns the body’s signals using an advanced algorithm that can predict the fertility window up to three months in advance. The early access permits women and couples to improve their chances of conception; and as the system operates while the user is asleep, the sensor can also measure sleep cycles and relaxation level with optimal accuracy.

“With today’s busy and hectic lifestyles, women want more readily available data to control their fertility. The need has translated into millions of downloads of period-tracking apps. However, despite this uptick in app downloads – fully convenient, medically-proven and accurate solutions had yet to be created,” said Avner Halperin, CEO of EarlySense. “EarlySense is providing the world’s first practically effortless and extremely accurate fertility tracker. With Percept, there is finally no more guesswork or hassle when trying to conceive, only advanced, clinically-proven science helping nature do its miraculous work.”

EarlySense also markets a number of contact-free patient-monitoring devices, including unobtrusive systems for hospital use and home use. Its namesake EarlySense system tracks a patient’s heart rate, respiratory rate and movement via the under-the-mattress sensor. This data is continuously displayed on a bedside monitor and at nurse stations.

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