PHIDIAS: ultra low power holistic design for smart bio signals computing platforms
Emerging and future HealthCare policies are fueling up an application driven shift toward long term monitoring of biosignals by means of embedded ultra low power Wireless Body Sensor Networks (WBSNs) In order to break out, these applications needed the emergence of new technologies to allow the development of extremely power efficient bio sensing nodes. The PHIDIAS project aims at unlocking the development of ultra low power bio sensing WBSNs by tackling multiple and interlocking technological breakthroughs: (i) the development of new signal processing models and methods based on the recently proposed Compressive Sampling paradigm, which allows the design of energy minimal computational architectures and analog front ends, (ii) the efficient hardware implementation of components, both analog and digital, building upon an innovative ultra low power signal processing front end, (iii) 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. PHIDIAS brought together a mixed consortium of academic and industrial research partners representing pan European excellence in different fields impacting the energy aware optimization of WBSNs, including experts in signal processing and digital/analog IC design. In this way, PHIDIAS pioneered a unique holistic approach, ensuring that key breakthroughs worked out in a cooperative way toward the global objective of the project.
Conf. Computing Frontiers