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Emerging and future HealthCare policies are fuelling up an application driven shift toward long term monitoring of bio-signals by means of embedded ultra-low power Wireless Body Sensor Networks(WBSNs). In order to break out, these applications need the emergence of new technologies to allow the development of extremely power-efficient bio-sensing nodes.
This project aims at unlocking the development of ultra-low power bio-sensing WBSNs by tackling the following key technological breakthroughs:
- The development of new signal processing models and methods based on the new Compressive Sampling paradigm and optimized for low power computational architectures that will generate the necessary front-end but will necessitate to depart from the traditional Shannon sampling methodologies,
- The efficient hardware implementation of components, both analog and digital, building upon the new ultra-low-power signal processing front-end,
- The joint architecture optimization and integration of those components using novel ultra compact heterogeneous 3D architectures,
- The evaluation of the global power reduction using a system wide integration of hardware and software components focused on compressed sensing based bio-signals analysis,
Based on these breakthroughs, PHIDIAS aims at developing and evaluating a proof-of-concept system that will allow disrupting the design of WBSNs for bio-sensing applications as well as shifting the expectations of health monitoring applications.
PHIDIAS will tackle these challenges by bringing together a mixed consortium of academic and industrial research partners representing pan-European excellence in those technologies. Moreover, PHIDIAS will pioneer a unique holistic approach, ensuring that key breakthroughs work out in a cooperative way toward the global objective of the project.
