Human++: Wireless autonomous sensor technology for body area networks

Author

Pop, Valer ; de Francisco, R. ; Pflug, H. ; Santana, J. ; Visser, H. ; Vullers, R. ; de Groot, H. ; Gyselinckx, B.

Author_Institution

Micropower, Imec/Holst Centre, Eindhoven, Netherlands

fYear

2011

fDate

25-28 Jan. 2011

Firstpage

561

Lastpage

566

Abstract

Recent advances in ultra-low-power circuits and energy harvesters are making self-powered body wireless autonomous transducer solutions (WATS) a reality. Power optimization at the system and application level is crucial in achieving ultra-low-power consumption for the entire system. This paper deals with innovative WATS modeling techniques, and illustrates their impact on the case of autonomous wireless ElectroCardioGram monitoring. The results show the effectiveness of our power optimization approach for improving the WATS autonomy.

Keywords

body area networks; energy harvesting; low-power electronics; optimisation; transducers; wireless sensor networks; WATS; body area networks; energy harvesting; optimization; ultra-low-power circuits; wireless ElectroCardioGram monitoring; wireless autonomous transducer solutions; wireless sensor networks; Electrocardiography; Integrated circuit modeling; Power demand; Radio frequency; Voltage measurement; Wireless communication; Wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Design Automation Conference (ASP-DAC), 2011 16th Asia and South Pacific

Conference_Location

Yokohama

ISSN

2153-6961

Print_ISBN

978-1-4244-7515-5

Type

conf

DOI

10.1109/ASPDAC.2011.5722253

Filename

5722253