A high-speed bioelectrical impedance spectroscopy system based on the digital auto-balancing bridge method

Nan Li, Hui Xu, Wei Wang, Zhou Zhou, Guofeng Qiao, David D U Li

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

A novel bioelectrical impedance spectroscopy system based on the digital auto-balancing bridge method improved from the conventional analogue auto-balancing method is presented for bioelectrical impedance measurements. The hardware of the proposed system consists of a reference source, a null detector, a variable source, a field programmable gate array, a clock generator, a flash and a USB controller. Software implemented in the field programmable gate array includes three major blocks: clock management, peripheral control and digital signal processing. The principle and realization of the least-mean-squares-based digital auto-balancing algorithm is introduced in detail. The performances of our system were examined by comparing with a commercial impedance analyzer. The results reveal that the proposed system has high speed (less than 3.5 ms per measurement) and high accuracy in the frequency range of 1 kHz-10 MHz. Compared with the commercial instrument based on the traditional analogue auto-balancing method, our system shows advantages in measurement speed, compactness and flexibility, making it suitable for various bioelectrical impedance measurement applications.

Original languageEnglish
Article number065701
Number of pages12
JournalMeasurement Science and Technology
Volume24
Issue number6
Early online date3 May 2013
DOIs
Publication statusPublished - 1 Jun 2013

Keywords

  • bioelectrical impedance spectroscopy
  • bioimpedance
  • digital auto-balancing bridge
  • impedance measurement

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  • Research Output

    • 18 Citations
    • 1 Article

    An instrumental electrode model for solving electrical impedance tomography forward problems

    Zhang, W. & Li, D., 19 Sep 2014, In : Physiological Measurement. 35, 10, p. 2001-2026 26 p.

    Research output: Contribution to journalArticle

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