High Frame Rate Electrical Impedance Tomography System for Monitoring of Regional Lung Ventilation

Rahal, M.; Jiang, Dai; Wu, Yu; Bardill, Andy; Bayford, Richard; Demosthenous, Andreas

doi:10.1109/embc48229.2022.9871479

Cited by 6 publications

(1 citation statement)

References 5 publications

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“…The direct sampling technique directly quantizes the impedance-modulated signal, skipping the down-conversion of the signal to DC in the analog domain [68]- [70]. Fig.…”

Section: B Direct Samplingmentioning

confidence: 99%

Impedance-Readout Integrated Circuits for Electrical Impedance Spectroscopy: Methodological Review

Cheon,

Choi,

Kang

et al. 2024

IEEE Trans. Biomed. Circuits Syst.

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This review paper provides a comprehensive overview of impedance-readout integrated circuits (ICs) for electrical impedance spectroscopy (EIS) applications. The readout IC, a crucial component of on-chip EIS systems, significantly affects key performance metrics of the entire system, such as frequency range, power consumption, accuracy, detection range, and throughput. With the growing demand for portable, wearable, and implantable EIS systems in the Internet-of-Things (IoT) era, achieving high energy efficiency while maintaining a wide frequency range, high accuracy, wide dynamic range, and high throughput has become a focus of research. Furthermore, to enhance the miniaturization and convenience of EIS systems, many emerging systems utilize two-electrode or dry electrode configurations instead of the conventional four-electrode configuration with wet electrodes for impedance measurement. In response to these trends, various technologies have been developed to ensure reliable operations even at two-or dryelectrode interfaces. This paper reviews the principles, advantages, and disadvantages of techniques employed in state-ofthe-art impedance-readout ICs, aiming to achieve high energy efficiency, wide frequency range, high accuracy, wide dynamic range, low noise, high throughput, and/or high input impedance. The thorough review of these advancements will provide valuable insights into the future development of impedance-readout ICs and systems for IoT and biomedical applications.

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“…The direct sampling technique directly quantizes the impedance-modulated signal, skipping the down-conversion of the signal to DC in the analog domain [68]- [70]. Fig.…”

Section: B Direct Samplingmentioning

confidence: 99%

Impedance-Readout Integrated Circuits for Electrical Impedance Spectroscopy: Methodological Review

Cheon,

Choi,

Kang

et al. 2024

IEEE Trans. Biomed. Circuits Syst.

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Advancing Electrical Impedance Spectroscopy (EIS): Low-power, High-accuracy, Wide-dynamic-range, and High-throughput Impedance Measurement Circuits and Architectures

Choi,

Cheon,

Kang

et al. 2024

Low-Cost Diagnostics

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This chapter offers an extensive introduction to readout circuit architectures designed to measure impedances across a frequency range in electrical impedance spectroscopy (EIS). The impedance readout circuit, an essential component of on-chip EIS systems, significantly affects key system performances, including precision and speed of measurements, noise, and power consumption. With an increasing demand for implantable, wearable, and portable EIS systems, researchers have been focusing on achieving higher energy efficiency while maintaining high precision and speed in measurements. Additionally, to improve the compactness and ease of use of EIS systems, various systems use two-electrode and dry-electrode setups rather than the conventional four- and wet-electrode configurations. Numerous innovative methods have been developed to provide reliable measurements using two- and dry-electrode interfaces. This chapter discusses advances in impedance-readout architectures and their pros and cons. These approaches are designed to achieve low power consumption, broad frequency and input ranges, high accuracy with low noise, rapid measurement times, and/or high input impedance. The in-depth analyses of each of these improvements for EIS systems will provide insights into the future progress of small-form-factor EIS systems for biomedical and Internet of Things (IoT) applications.

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A Compact Neural Network for High Accuracy Bioimpedance-Based Hand Gesture Recognition

Yao,

Wu,

Jiang

et al. 2023

2023 IEEE Biomedical Circuits and Systems Conference (BioCAS)

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High Frame Rate Electrical Impedance Tomography System for Monitoring of Regional Lung Ventilation

Cited by 6 publications

References 5 publications

Impedance-Readout Integrated Circuits for Electrical Impedance Spectroscopy: Methodological Review

Impedance-Readout Integrated Circuits for Electrical Impedance Spectroscopy: Methodological Review

Advancing Electrical Impedance Spectroscopy (EIS): Low-power, High-accuracy, Wide-dynamic-range, and High-throughput Impedance Measurement Circuits and Architectures

A Compact Neural Network for High Accuracy Bioimpedance-Based Hand Gesture Recognition

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