Wireless brain signal acquisition circuits for body sensor network

Shuenn Yuh Lee, Jia Hua Hong, Liang Hung Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The paper presents the proposed wireless brain signal acquisition circuits f or 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 al so 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.

Original languageEnglish
Title of host publicationProceedings of the 11th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2012
Pages70-77
Number of pages8
DOIs
Publication statusPublished - 2012 Nov 15
Event11th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2012 - Kyoto, Japan
Duration: 2012 Aug 222012 Aug 24

Publication series

NameProceedings of the 11th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2012

Other

Other11th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2012
CountryJapan
CityKyoto
Period12-08-2212-08-24

Fingerprint

Body sensor networks
Brain
Electroencephalography
Networks (circuits)
Power integrated circuits
Mixer circuits
Low noise amplifiers
Communication
Variable frequency oscillators
Power amplifiers
Modulators
Integrated circuits
Transmitters
Specifications

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems

Cite this

Lee, S. Y., Hong, J. H., & Wang, L. H. (2012). Wireless brain signal acquisition circuits for body sensor network. In Proceedings of the 11th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2012 (pp. 70-77). [6311129] (Proceedings of the 11th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2012). https://doi.org/10.1109/ICCI-CC.2012.6311129
Lee, Shuenn Yuh ; Hong, Jia Hua ; Wang, Liang Hung. / Wireless brain signal acquisition circuits for body sensor network. Proceedings of the 11th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2012. 2012. pp. 70-77 (Proceedings of the 11th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2012).
@inproceedings{3bc98d45ea3a4ff9b219a1a559c6a0e0,
title = "Wireless brain signal acquisition circuits for body sensor network",
abstract = "The paper presents the proposed wireless brain signal acquisition circuits f or 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 al so 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.",
author = "Lee, {Shuenn Yuh} and Hong, {Jia Hua} and Wang, {Liang Hung}",
year = "2012",
month = "11",
day = "15",
doi = "10.1109/ICCI-CC.2012.6311129",
language = "English",
isbn = "9781467327930",
series = "Proceedings of the 11th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2012",
pages = "70--77",
booktitle = "Proceedings of the 11th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2012",

}

Lee, SY, Hong, JH & Wang, LH 2012, Wireless brain signal acquisition circuits for body sensor network. in Proceedings of the 11th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2012., 6311129, Proceedings of the 11th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2012, pp. 70-77, 11th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2012, Kyoto, Japan, 12-08-22. https://doi.org/10.1109/ICCI-CC.2012.6311129

Wireless brain signal acquisition circuits for body sensor network. / Lee, Shuenn Yuh; Hong, Jia Hua; Wang, Liang Hung.

Proceedings of the 11th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2012. 2012. p. 70-77 6311129 (Proceedings of the 11th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2012).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Wireless brain signal acquisition circuits for body sensor network

AU - Lee, Shuenn Yuh

AU - Hong, Jia Hua

AU - Wang, Liang Hung

PY - 2012/11/15

Y1 - 2012/11/15

N2 - The paper presents the proposed wireless brain signal acquisition circuits f or 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 al so 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.

AB - The paper presents the proposed wireless brain signal acquisition circuits f or 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 al so 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.

UR - http://www.scopus.com/inward/record.url?scp=84868643642&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84868643642&partnerID=8YFLogxK

U2 - 10.1109/ICCI-CC.2012.6311129

DO - 10.1109/ICCI-CC.2012.6311129

M3 - Conference contribution

AN - SCOPUS:84868643642

SN - 9781467327930

T3 - Proceedings of the 11th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2012

SP - 70

EP - 77

BT - Proceedings of the 11th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2012

ER -

Lee SY, Hong JH, Wang LH. Wireless brain signal acquisition circuits for body sensor network. In Proceedings of the 11th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2012. 2012. p. 70-77. 6311129. (Proceedings of the 11th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2012). https://doi.org/10.1109/ICCI-CC.2012.6311129