A dual-core system solution for wearable health monitors

Autor: Jef van Meerbergen, Harmke de Groot, Octavio Santana, Frank Bouwens, Antoine Fraboulet, Martijn Bennebroek, Anteneh Alemu Abbo, Jos Huisken
Přispěvatelé: Integrated Circuits, Electronic Systems, Holst Centre (IMEC NL), IMEC NL / Holst Centre, Philips Research [Nederlands], Philips Research, Ambient Middleware Architectures: Service-Oriented, Networked, Efficient and Secured (AMAZONES), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-CITI Centre of Innovation in Telecommunications and Integration of services (CITI), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA), European Project: 33462,WASP
Jazyk: angličtina
Rok vydání: 2011
Předmět:
Zdroj: Proceedings of the 21st edition of the great lakes symposium on Great lakes symposium on VLSI (GLSVLSI '11)
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ACM Great Lakes Symposium on VLSI
GLSVLSI '11 Proceedings of the 21st edition of the great lakes symposium on Great lakes symposium on VLSI
GLSVLSI '11 Proceedings of the 21st edition of the great lakes symposium on Great lakes symposium on VLSI, May 2011, Lausanne, Switzerland. pp.379--382, ⟨10.1145/1973009.1973087⟩
DOI: 10.1145/1973009.1973087
Popis: International audience; This paper presents a system design study for wearable sensor devices intended for healthcare and lifestyle applications based on ECG, EEG and activity monitoring. In order to meet the low-power requirement of these applications, a dual-core signal processing system is proposed which combines an ultra-low-power bio-medical Application Specific Instruction-set Processor (BioASIP) and a low-power general-purpose micro-controller (MSP430). To validate the merits of the proposed architecture, system-level power analysis and trade-offs are conducted using real hardware measurements of an ECG R-peak detection application. The results show that the proposed dual-core architecture consumes around 65.38µW, about 25.8x smaller than an MSP430-only approach. Out of 65.38µW, the BioASIP consumes only 11µW and the rest is used in the analog front-end, A/D conversion, and control tasks.
Databáze: OpenAIRE