DocumentCode :
573374
Title :
Wireless brain signal acquisition circuits for body sensor network
Author :
Lee, Shuenn-Yuh ; Hong, Jia-Hua ; Wang, Liang-Hung
Author_Institution :
Dept. of Electr. Eng., Nat. Chung-Cheng Univ., Chiayi, Taiwan
fYear :
2012
fDate :
22-24 Aug. 2012
Firstpage :
70
Lastpage :
77
Abstract :
The paper presents the proposed wireless brain signal acquisition circuits for body sensor network. Considering the power-efficient communication in the body sensor network, the required low-power analog integrated circuits (ICs) are developed for a wireless brain signal acquisition system. To acquire the electroencephalogram (EEG) signal, this paper proposes an analog front-end (AFE) circuit, including only one low-noise amplifier with chopping techniques and one high-pass sigma-delta modulator (HPSDM), which can be applied as a sensing circuit for EEG signal acquisition systems. To transmit the EEG signal through wireless communication, a quadrature CMOS voltage-controlled oscillator and a 2.4 GHz direct-conversion transmitter with a power amplifier and up-conversion mixer are also developed. In the receiver, a 2.4 GHz fully integrated CMOS radio-frequency front-end is also implemented. The circuits have been implemented to fit the specifications of the IEEE 802.15.4 2.4 GHz standard. The low-power ICs of the wireless EEG acquisition systems have been fabricated using a 0.18 μm TSMC CMOS standard process. The measured results reveal that the proposed low-power analog front-end ICs can be used for the wireless brain signal acquisition.
Keywords :
CMOS analogue integrated circuits; Zigbee; analogue integrated circuits; biomedical electronics; body sensor networks; electroencephalography; low noise amplifiers; low-power electronics; medical signal detection; patient monitoring; sigma-delta modulation; voltage-controlled oscillators; AFE; CMOS radio-frequency front-end; IEEE 802.15.4 2.4 GHz standard; analog front-end circuit; body sensor network; chopping techniques; direct-conversion transmitter; electroencephalogram signal; frequency 2.4 GHz; high-pass sigma-delta modulator; low-noise amplifier; low-power analog integrated circuits; power amplifier; power-efficient communication; quadrature CMOS voltage-controlled oscillator; size 0.18 mum; up-conversion mixer; wireless EEG acquisition systems; wireless brain signal acquisition circuits; Choppers (circuits); Electroencephalography; Medical services; Mixers; Monitoring; Radio frequency; Transmitters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cognitive Informatics & Cognitive Computing (ICCI*CC), 2012 IEEE 11th International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4673-2794-7
Type :
conf
DOI :
10.1109/ICCI-CC.2012.6311129
Filename :
6311129
Link To Document :
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