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OvuSense Cycle & PCOS Tracker


4.4 ( 5504 ratings )
Фітнес та здоровье Здоров’я та фітнес
Розробник: VIO HealthTech Ltd
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What is OvuSense™ ?

OvuSense is designed for your individual health journey. It combines a health tracker app and wearable sensor, giving you the most accurate understanding of your cycle available on the market. OvuSense measures continuous Core Body Temperature (cCBT) every five minutes, with a 1/1000th of a degree resolution, giving you a clinically proven understanding of what is happening to the rise and fall of progesterone - your key cycle hormone.

Only OvuSense can predict ovulation 48 hours in advance, confirm your ovulation with 99% accuracy,[1] and flag cycles to screen for issues, and show if treatment and diet are working[2].

For PCOS

The symptoms of Polycystic Ovarian Syndrome affect up to 20% of women, and many go undiagnosed. OvuSense will let you know with certainty if and when you ovulate, provide vital feedback for whether a diet is improving your ovulation timing, and let you know if treatments are working. Tens of thousands of women have already benefitted from managing their PCOS with OvuSense. Choose OvuSense with the OvuCore vaginal sensor today for managing your PCOS, whether you’re trying to conceive, or just wanting to get on with leading your life.

For Getting Pregnant

If you’re trying to conceive, OvuSense provides the ideal way to understand when to time sex or treatment. Choose OvuSense with the OvuCore vaginal sensor to predict and confirm ovulation using current cycle data - ideal if you have irregular ovulation and/ or the number of days between your periods varies from cycle to cycle. If you’ve got regular cycles then start out with OvuSense with the OvuFirst skin-worn sensor.

For Cycle Tracking

If you’re trying to understand your cycle, then it’s essential you have real clinical data. OvuSense can help you manage your diet, supplements and any treatments you need. Download the OvuSense App to get started for free, then upgrade to the OvuFirst skin-worn sensor.

[1] Papaioannou S, Delkos D, Pardey J (2014); Hurst BS, Davies K (2022).
[2] Hurst BS, Karoshi M (2020); Karoshi M, Hurst B (2020); Hurst BS, Pirrie A (2019)