4.7 Article

A Comprehensive Noise Model for Wideband and High Frame Rate Electrical Impedance Tomography Systems

Journal

IEEE SENSORS JOURNAL
Volume 23, Issue 13, Pages 14253-14263

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2023.3275639

Keywords

Switches; Bandwidth; Signal to noise ratio; Electrical impedance tomography; Matched filters; Floors; Sensors; Electrical impedance tomography (EIT); matched filter; signal-to-noise ratio; switching noise

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This article presents a thorough analysis of switching noise in an EIT system and proposes a comprehensive noise model that takes into account the impacts of switching noise, frame rate, and bandwidth. Simulation and experimental results demonstrate that the proposed model can guide the improvement of the comprehensive performance of an EIT system for clinical applications. The EIT system can achieve high average SNR values of over 94 dB and 90 dB with different frame rates and bandwidths.
Clinical applications call for comprehensive performances of electrical impedance tomography (EIT) system, including sufficient signal-to-noise ratio (SNR), high frame-per-second (fps), and wide bandwidth. In this article, thorough analyses of switching noise in an EIT system are presented. The energy of switching noise is split into two parts: spurs and extra quantization noise of analog-to-digital converter (ADC). Based on the characteristics of switching noise, a comprehensive noise model of EIT systems with digital matched filter is proposed. The impacts of switching noise, frame rate, and bandwidth of an EIT system are considered in the noise model. Simulation and experiment conducted in a laboratory-built EIT system are employed to validate the noise model. Test results show that the EIT system can obtain an average SNR greater than 94 dB with a frame rate of 31 frame/s and a bandwidth of 2 MHz and an average SNR greater than 90 dB with a frame rate of 31 frame/s and a bandwidth of 10 MHz, under the guidance of the proposed model. Overall, this work provides a novel and comprehensive noise model by including the impacts of switching noise, frame rate, and bandwidth, which can serve as a guide to improve the comprehensive performance of an EIT system for clinical applications.

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