We decided to develop this device in order to give the possibility to perform antenatal fetal heart rate monitoring, even in the absence of a physician; indeed in the Low-Middle Income Countries the ratio between doctors and people is dramatically low.
Also, it could be concretely useful to reduce perinatal mortality in these countries: according to Save the Children report the 98% of World perinatal deaths is located in the Low-Middle Income Countries.
This project is suitable for achieving the three Sustainable Development Goals which are indicated in the bottom of the slide: good health and well-being, gender equality and reduced inequalities.
Our device is a class IIb device, it is constituted by a 3D printed PE case ultrasound probe connected through BLE connection to a medical app that uses a machine learning algorithm to classify the FHR signal and allow to a primary monitoring of fetal wellbeing.