Patient and Environment Aware Adaptive Intelligent Sensor Systems | RVO.nl | Rijksdienst

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Patient and Environment Aware Adaptive Intelligent Sensor Systems

The pAvIs consortium will develop intelligent sensor systems for professional healthcare applications. With the aid of embedded AI algorithms and innovative electronics, pAvIs will realize a paradigm shift from “one size fits all” to real-time adaptability of sensor-based systems to the individual patient. In the state-of-the-art the average healthy person is used to as reference for the development of sensor-based diagnostic and therapy systems. The same setup is expected to perform equally well on a 15 year old girl of 1,60m and 50kg, her 25 year old rugby playing brother twice her size, and her 80 year old grandfather with a deformed spine. Obviously, this is not realistic and does not deliver the best possible result. The project will deliver a new architecture for intelligent sensor systems with at its core a sensor module embedding a mixed-signal processing chain, which throughout will consist of new adjustable components. The adjustment settings will be determined in real-time based on the sensor signal itself or by exploiting integrated auxiliary detectors. To increase computational power-efficiency and miniaturize the system, a dedicated neuromorphic engine will be used for AI acceleration. Embedded AI algorithms will be developed with a specific focus on resource efficiency. Given the low-power requirements for sensor systems, a novel, distributed, power management system will be developed.

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