DocumentCode :
3204841
Title :
MEMS Energy Harvesting Powered Wireless Biometric Sensor
Author :
He, C. ; Arora, A. ; Kiziroglou, M.E. ; Yates, D.C. ; O´Hare, D. ; Yeatman, E.M.
Author_Institution :
Imperial Coll. London, London, UK
fYear :
2009
fDate :
3-5 June 2009
Firstpage :
207
Lastpage :
212
Abstract :
One of the main challenges in developing wireless biometric sensors is the requirement for integration of various systems into a very compact device. Such systems include sensing units, conditioning electronics, transmitters and power supplies. In this work, a novel system integration architecture is presented. A unique feature of this new architecture is that the sub-systems are selected and designed for direct output-to-input connection. An array of active pH sensors is used to transform a pH level to an electrical potential in the range of 0 - 2 Volts. This signal is amplified by an electrostatic energy harvester suitable for human motion operation. The amplified signal drives a custom LC transmitter specially designed to suit the harvester output. A system of notable simplicity is achieved and may serve as a demonstrator for other wireless sensors.
Keywords :
biosensors; chemical sensors; energy harvesting; low-power electronics; microsensors; pH measurement; wireless sensor networks; LC transmitter; MEMS; active pH sensors; conditioning electronics; direct output-to-input connection; electrostatic energy harvester; energy harvesting; human motion operation; pH level; power supplies; sensing units; system integration architecture; transmitters; wireless biometric sensor; Biosensors; Electric potential; Electrostatics; Humans; Micromechanical devices; Power supplies; Sensor arrays; Signal design; Transmitters; Wireless sensor networks; Electrostatic; energy harvesting; microelectromechanical system (MEMS); pH sensor; power scavenging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wearable and Implantable Body Sensor Networks, 2009. BSN 2009. Sixth International Workshop on
Conference_Location :
Berkeley, CA
Print_ISBN :
978-0-7695-3644-6
Type :
conf
DOI :
10.1109/BSN.2009.28
Filename :
5226890
Link To Document :
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