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-sensingbased 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.
PHIDIAS: Ultra-low-power holistic design for smart bio-signals computing platforms / Bortolotti, D.; Bartolini, A.; Benini, L.; Rajesh Pamula, V.; Van Helleputte, N.; Van Hoof, C.; Verhelst, M.; Gemmeke, T.; Braojos Lopez, R.; Ansaloni, G.; Atienza, D.; Vandergheynst, P.. - STAMPA. - (2016), pp. 309-314. (Intervento presentato al convegno ACM International Conference on Computing Frontiers, CF 2016 tenutosi a ita nel 2016) [10.1145/2903150.2903469].
PHIDIAS: Ultra-low-power holistic design for smart bio-signals computing platforms
BORTOLOTTI, DANIELE;BARTOLINI, ANDREA;BENINI, LUCA;
2016
Abstract
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-sensingbased 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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
