HospiMedica

Download Mobile App
Recent News AI Critical Care Surgical Techniques Patient Care Health IT Point of Care Business Focus

Contact-Free Ovulation Tracker Detects Fertility Window

By HospiMedica International staff writers
Posted on 18 Oct 2017
Print article
Image: The Percept system helps women track their fertility window (Photo courtesy of EarlySense).
Image: The Percept system helps women track their fertility window (Photo courtesy of EarlySense).
An under-the-mattress device provides users with information and predictions on their ovulation, menstruation, sleep patterns, vital signs, and stress levels.

The EarlySense (Waltham, MA, USA) Percept system is a nonintrusive, seamless device that uses an advanced algorithm to detect the body’s internal signals, predicting when the user is most fertile. 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.

Related Links:
EarlySense

Gold Member
Disposable Protective Suit For Medical Use
Disposable Protective Suit For Medical Use
Gold Member
SARS‑CoV‑2/Flu A/Flu B/RSV Sample-To-Answer Test
SARS‑CoV‑2/Flu A/Flu B/RSV Cartridge (CE-IVD)
Silver Member
Compact 14-Day Uninterrupted Holter ECG
NR-314P
New
Traumatic Brain Injury Whole Blood Test
i-STAT TBI CARTRIDGE

Print article

Channels

Critical Care

view channel
Image: The new risk assessment tool determines patient-specific risks of developing unfavorable outcomes with heart failure (Photo courtesy of 123RF)

Powerful AI Risk Assessment Tool Predicts Outcomes in Heart Failure Patients

Heart failure is a serious condition where the heart cannot pump sufficient blood to meet the body's needs, leading to symptoms like fatigue, weakness, and swelling in the legs and feet, and it can ultimately... Read more

Surgical Techniques

view channel
Image: The multi-sensing device can be implanted into blood vessels to help physicians deliver timely treatment (Photo courtesy of IIT)

Miniaturized Implantable Multi-Sensors Device to Monitor Vessels Health

Researchers have embarked on a project to develop a multi-sensing device that can be implanted into blood vessels like peripheral veins or arteries to monitor a range of bodily parameters and overall health status.... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The Quantra Hemostasis System has received US FDA special 510(k) clearance for use with its Quantra QStat Cartridge (Photo courtesy of HemoSonics)

Critical Bleeding Management System to Help Hospitals Further Standardize Viscoelastic Testing

Surgical procedures are often accompanied by significant blood loss and the subsequent high likelihood of the need for allogeneic blood transfusions. These transfusions, while critical, are linked to various... Read more