The Ava braceletSensor technology worn at night to detect a woman’s fertile window in real time
Takes the skin temperature at the wrist
Measures movement and determines sleep stage
Captures heart rate variability, pulse rate, breathing rate, and skin perfusion
Ava’s algorithmsActionable and accurate data unique to every user
The sensor bracelet collects data 25 times per second while the user sleeps. In the morning, she syncs her data to the Ava app. Her information is then analyzed to display nightly physiological parameters, predict menstruation, and detect her fertile window using four different self-learning algorithms.
These algorithms were validated in a clinical trial conducted at the University Hospital Zurich in Switzerland. It showed the following performance when identifying fertile days in real time:
Average number of days detected in the fertile window: 5.3
The findings were presented at the Annual Meeting of the American Society of Reproductive Medicine (ASRM)1, the Swiss Society of Gynecology and Obstetrics (SGGG)2, the German Society of Gynecology and Obstetrics (DGGG)3, the European Society of Human Reproduction and Embryology (ESHRE)4, and the International Federation of Fertility Societies (IFFS)5.
Advanced fertility trackingSee how Ava’s metrics correspond to the menstrual cycle
Ava’s algorithms calculate a woman’s probable cycle phase and then refine the prediction using nightly recorded physiological data to accurately detect her fertile window in real time.
This downloadable PDF provides a snapshot of how that data correlates to a woman’s hormonal, ovarian, and uterine phases. It’s a learning tool to print and share with your patients, providing them with empowering insight into the menstrual cycle and reproductive health.
Data securityFully anonymized user information
Ava abides by the General Data Protection Regulation (GDPR), the highest security standard in both the European Union and the United States, and employs region-specific servers for data storage through Amazon Web Services (AWS). All user data is stored anonymously with the individual’s user ID, registration info, and other personally identifiable information (PII) stored separately. Find more information on the stringent security measures required by AWS and GDPR: