FUTURE-MD
Capacity building for development of innovative system for prediction of Medical Device performance
Digitized Anything
Consortium: Verification laboratory Verlab Ltd. (Sarajevo, Bosnia and Herzegovina) / University of Montenegro Faculty of Electrical Engineering (Podgorica, Montenegro)
Funded by: Knowledge Transfer Experiments, Round 1
Medical devices have a fundamental role in saving lives by providing innovative healthcare solutions for the diagnosis, prevention, monitoring, prediction, prognosis, treatment or alleviation of disease.
In the previous solution there was a Wireless Sensor System (WSN) based on tree topology, that consists of sensor units and a base station acting as a gateway to a web platform. Wireless Sensor Units (WSUs) were used to get environmental data such as temperature, humidity, soil humidity, etc., which are sent to a base station named Wireless Information Unit (WIU) through a Zigbee.
The medical devices sector is essential to the provision of healthcare to citizens and is an important player in both the European and global economy.
One of the proposed improvements was the replacement of WSUs existing microcontroller with such consuming ultra low power.
Another improvement was to update the communication technology used in the WIU, such as Nb-IoT, in order to improve bandwidth, reduce communication cost and increase the battery duration.
An SME wants to investigate whether an expert system using machine learning algorithms and IoT can be integrated on IoT devices to produce an innovative system (FUTURE-MD) that will dramatically improve safety and accuracy of medical devices that are already used in healthcare institutions and that has commercial opportunities.
Medical devices have a fundamental role in saving lives by providing innovative healthcare solutions for the diagnosis, prevention, monitoring, prediction, prognosis, treatment or alleviation of disease. The medical devices sector is essential to the provision of healthcare to citizens and is an important player in both the European and global economy.
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Generating data:
- Device related parameters
- Parameters of electrical safety of the device
- Parameters of performance of the device
Artificial intelligence and machine learning technologies are transforming health care by deriving new and important insights from the vast amount of data generated during the delivery of health care every day. Medical device manufacturers are using these technologies to innovate their products to better assist health care providers and improve patient care.
SMART4ALL has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No 872614
SMART4ALL is a four-year Innovation Action project funded under Horizon 2020 framework under call DT-ICT-01-2019: Smart Anything Everywhere – Area 2: Customized low energy computing powering CPS and the IoT.