Special Section on Theory and Practice of MEMS/NEMS/MOEMS, RF MEMS, and BioMEMS

Power-efficient wireless sensor for physiological signal acquisition

[+] Author Affiliations
Chia-Lin Chang

National Cheng Kung University, Department of Electrical Engineering, Tainan, Taiwan 701

Chih-Wei Chang

National Chiao Tung University, Department of Electrical and Control Engineering, Hsinchu, Taiwan 300

Chen-Ming Hsu

National Cheng Kung University, Department of Electrical Engineering, Tainan, Taiwan 701

Ching-Hsing Luo

National Cheng Kung University, Department of Electrical Engineering, Tainan, Taiwan 701

Jin-Chern Chiou

National Chiao Tung University, Department of Electrical and Control Engineering, Hsinchu, Taiwan 300

J. Micro/Nanolith. MEMS MOEMS. 8(2), 021120 (April 29, 2009). doi:10.1117/1.3124190
History: Received August 19, 2008; Revised March 09, 2009; Accepted March 09, 2009; Published April 29, 2009
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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 10kHz 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 56.8mW respectively. It consumes 46% less power than the original sensor without power management (173mW) in ECG acquisition and 67% less power in EEG acquisition. The circuit printed-circuit-band area in the proposed wireless sensor is 3.5×4.5cm, suitable for various portable biomedical applications.

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© 2009 Society of Photo-Optical Instrumentation Engineers

Citation

Chia-Lin Chang ; Chih-Wei Chang ; Chen-Ming Hsu ; Ching-Hsing Luo and Jin-Chern Chiou
"Power-efficient wireless sensor for physiological signal acquisition", J. Micro/Nanolith. MEMS MOEMS. 8(2), 021120 (April 29, 2009). ; http://dx.doi.org/10.1117/1.3124190


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