Robust electrical impedance tomography for biological application: A mini review

Li, Yang; Wang, Nan; Fan, Lifeng; Zhao, Peng-Fei; Li, Jinhai; Huang, Lan; Wang, Zhongyi

doi:10.1016/j.heliyon.2023.e15195

Cited by 5 publications

(1 citation statement)

References 104 publications

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“…In the potential field of EIT, current is distributed dominantly near the excitation electrodes and thus the resulting potential decreases as the measurement electrode is located further away from the excitation electrodes (Wu et al 2021), as shown in figure 9. Because the voltmeter has the same noise power, SNR of the measured impedance at the far-end electrode becomes smaller compared to that at the near-end electrode (Li et al 2023). In terms of the distance between electrodes of measurement and electrodes, there are more electrodes far from the excitation electrodes in adjacent injection than those in opposite injection; therefore, the impedance obtained from these measurement channels was much smaller than that with opposite injection (figure 9).…”

Section: Assessment Of Eit Signal Qualitymentioning

confidence: 99%

Evaluation of adjacent and opposite current injection patterns for a wearable chest electrical impedance tomography system

Yang,

Gao,

Wang

et al. 2024

Physiol. Meas.

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BackgroundWearable electrical impedance tomography (EIT) can be used to monitor regional lung ventilation and perfusion at the bedside. Due to its special system architecture, the amplitude of the injected current is usually limited compared to stationary EIT system. This study aims to evaluate the performance of current injection patterns with various low-amplitude currents in healthy volunteers.MethodsA total of 96 test sets of EIT measurement was recorded in 12 healthy subjects by employing adjacent and opposite current injection patterns with four amplitudes of small current (i.e. 1 mA, 500 uA, 250 uA and 125 uA). The performance of the two injection patterns with various currents was evaluated in terms of signal-to-noise ratio (SNR) of thorax impedance, EIT image metrics and EIT-based clinical parameters.ResultsCompared with adjacent injection, opposite injection had higher SNR (p<0.01), less inverse artifacts (p<0.01), and less boundary artifacts (p<0.01) with the same current amplitude. In addition, opposite injection exhibited more stable EIT-based clinical parameters (p<0.01) across the current range. For adjacent injection, significant differences were found for three EIT image metrics (p<0.05) and four EIT-based clinical parameters (p<0.01) between the group of 125 uA and the other groups.ConclusionFor better performance of wearable pulmonary EIT, currents greater than 250 uA should be used in opposite injection, 500 uA in adjacent one, to ensure a high level of SNR, a high quality of reconstructed image as well as a high reliability of clinical parameters.

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Section: Assessment Of Eit Signal Qualitymentioning

confidence: 99%

Evaluation of adjacent and opposite current injection patterns for a wearable chest electrical impedance tomography system

Yang,

Gao,

Wang

et al. 2024

Physiol. Meas.

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Method for identifying fungal diseases of cultivated plants using fuzzy logic

Aleynikov,

Gavrish

2024

E3S Web Conf.

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The need to develop effective methods for identifying fungal diseases of cultivated plants at the initial stage of their development, allowing their use in field conditions, is substantiated. Using the example of garden strawberries, a new method for such diagnostics using impedance spectroscopy and fuzzy logic is proposed. Develop a new algorithm and software for classifying such diseases and early detection of their manifestations. The results of experimental studies to identify damage to garden strawberries by fungal pathogens Ramularia tulasnei and Marssonina potentillae are presented.

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