Category: Sweat analysis
The Alpha version of the HypoSense device is a non-invasive method for the detection of hypoglycemia (hypo attacks). An array of non-invasive sensors that monitor the patient’s physiological parameters (respiration/breath rate, perspiration and skin temperature) are collected and sent to MEDrecord for the prediction of hypo attacks in diabetic patients during the night. Especially among younger (under the age of 30) type 1 and type 2 diabetes patients.
At this moment we are developing a Beta and final version of the HypoSense device.
Please send us an email if you are interested (to buy or invest).
Every year 2% of all
Diabetic patients die
because of hypo attacks
The smart wearable will protect your children during the night
We developed advanced prediction models to prevent hypo attacks
Impressions of the software:
We are still looking for the right funding instrument
This project has been setup together with these partners:
End-to-end Solutions for Disease Specific Clinical Decision Support
SYMPHONY will create an open healthcare IT-ecosystem, providing care professionals with real-time, comprehensive insights in the patient’s status, integrating all relevant information for diagnosis, treatment selection as well as follow-up.
Buddy app for Diabetes Patients
A revolutionary community driven tool that connects diabetes patients with other patients and health professionals for monitoring and support.
A Smart Companion for People on Tube Feeding Regimens
The Food-Friend application assists people that are using tube feeding devices by making their nutritional and fluid intake accurate and easily trackable.