Li, Nan, Xu, Hui, Wang, Wei, Zhou, Zhou, Qiao, Guofeng and Li, David Day-Uei (2013) A high-speed bioelectrical impedance spectroscopy system based on the digital autobalancing bridge method. Measurement Science and Technology, 24. 065701. ISSN 0957-0233

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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.

Item Type:	Article
Schools and Departments:	School of Engineering and Informatics > Engineering and Design
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK0275 Electric standards and measurements T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK0452 Electric apparatus and materials. Electric circuits. Electric networks T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics > TK7885 Computer engineering. Computer hardware
Depositing User:	David Day-Uei Li
Date Deposited:	30 May 2013 10:09
Last Modified:	13 Mar 2017 11:11
URI:	http://srodev.sussex.ac.uk/id/eprint/45197

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