Preprint Article Version 1 This version is not peer-reviewed

Reconfigurable, Multi-channel and Modular Bioimpedance Spectroscopy System on Field Programmable Gate Arrays

Version 1 : Received: 4 August 2017 / Approved: 4 August 2017 / Online: 4 August 2017 (16:05:29 CEST)

How to cite: Nordin, A.N.; Al-Hashimi, A.; Wong Azman, A. Reconfigurable, Multi-channel and Modular Bioimpedance Spectroscopy System on Field Programmable Gate Arrays. Preprints 2017, 2017080019 (doi: 10.20944/preprints201708.0019.v1). Nordin, A.N.; Al-Hashimi, A.; Wong Azman, A. Reconfigurable, Multi-channel and Modular Bioimpedance Spectroscopy System on Field Programmable Gate Arrays. Preprints 2017, 2017080019 (doi: 10.20944/preprints201708.0019.v1).

Abstract

This paper presents the design and implementation of a multichannel bio-impedance spectroscopy system on field programmable gate arrays (FPGA). The proposed system is capable of acquiring multiple signals from multiple bio-impedance sensors, process the data on the FPGA and store the final data in the on-board Memory. The system employs the Digital Automatic Balance Bridge (DABB) method to acquire data from biosensors. The DABB measures initial data of a known impedance to extrapolate the value of the impedance for the device under test. This method offers a simpler design because the balancing of the circuit is done digitally in the FPGA rather than using an external circuit. Calculations of the impedance values for the device under test were done in the processor. The final data is sent to an onboard Flash Memory to be stored for later access. The control unit handles the interfacing and the scheduling between these different modules (Processor, Flash Memory) as well as interfacing to multiple Balance Bridge and multiple biosensors. The system has been simulated successfully and has comparable performance to other FPGA based solutions. The system has a robust design that is capable of handling and interfacing input from multiple biosensors. Data processing and storage is also performed with minimal resources on the FPGA.

Subject Areas

Bioimpedance Spectroscopy; Field Programmable Gate Array; Digital Auto Balance Bridge; Multichannel data acquisition;

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