The focus of the Fraunhofer EMFT research team in the project is on the development of a micropump and its integration into an ultrasound patch. The patch combines constant monitoring of the fetus' heartbeat with continuous real-time imaging. The micropump generates a defined negative pressure that makes it possible to attach the patch to the abdomen - without any adhesives.
The Munich researchers are also working on pH sensors which are integrated into a flexible film. They are designed to measure the pH value of pregnant women's vaginal discharge in order to predict the date of delivery as accurately as possible.
The third aspect involves the development of a capacitive pressure-sensitive mattress using the institute's own roll-to-roll lithography pilot line. The mattress detects the baby's movement and position at all times and is used for remote monitoring of high-risk babies at home and in hospital, using several non-invasive sensor technologies, e.g. for vital signs. The 1 m long pressure mattress will be fully flexible and have a thickness of less than 5 mm.
In order to fully benefit from the potential of the developed technologies, the project partners also want to use artificial intelligence (AI) and machine learning (ML). The goal is the realized solutions to demonstrate appropriate data integration, security and medical qualification, in order to be able to seamlessly integrate them into clinical workflows.
The project is funded by the European research program KDT Joint Undertaking (JU) under the funding number 101095792.