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 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:•\tThe 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,•\tThe efficient hardware implementation of components, both analog and digital, building upon the new ultra-low-power signal processing front-end,•\tThe joint architecture optimization and integration of those components using novel ultra-compact heterogeneous 3D architectures,•\tThe evaluation of the global power reduction using a system wide integration of hardware and software components focused on compressed sensing based biosignals 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 biosensing 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.