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Journal of Micro/Nanolithography, MEMS, and MOEMS

Power-efficient wireless sensor for physiological signal acquisition
Author(s): Chia-Lin Chang; Chih-Wei Chang; Chen-Ming Hsu; Ching-Hsing Luo; Jin-Chern Chiou
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Paper Abstract

This work presents a power-efficient wireless sensor implemented using microelectromechanical system (MEMS)-based dry electrodes (MDE) and a ZigBee protocol chip for physiological signal acquisition. To improve signal quality with low electrode-skin interface impedance, a silicon-based MDE is fabricated via micromachining technology. The proposed wireless sensor can provide four different channels for up to 10 kHz bandwidth, 10-bit resolution biomedical signal transmissions. Different from other systems, the proposed wireless sensor employs a novel power management method for physiological signals to reduce power consumption. The proposed wireless sensor successfully transmits electrocardiogram (ECG) signals and four-channel electroencephalogram (EEG) signals with power consumptions of 92.7 and 56.8 mW respectively. It consumes 46% less power than the original sensor without power management (173 mW) in ECG acquisition and 67% less power in EEG acquisition. The circuit printed-circuit-band area in the proposed wireless sensor is 3.5×4.5 cm, suitable for various portable biomedical applications.

Paper Details

Date Published: 1 April 2009
PDF: 7 pages
J. Micro/Nanolith. MEMS MOEMS 8(2) 021120 doi: 10.1117/1.3124190
Published in: Journal of Micro/Nanolithography, MEMS, and MOEMS Volume 8, Issue 2
Show Author Affiliations
Chia-Lin Chang, National Cheng Kung Univ. (Taiwan)
Chih-Wei Chang, National Chiao Tung Univ. (Taiwan)
Chen-Ming Hsu, National Cheng Kung Univ. (Taiwan)
Ching-Hsing Luo, National Cheng Kung Univ. (Taiwan)
Jin-Chern Chiou, National Chiao Tung Univ. (Taiwan)

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