A Novel Mixed Stimulation Pattern for Balanced Pulmonary EIT Imaging Performance

Pulmonary electrical impedance tomography (EIT) offers non-invasive and real-time imaging in a compact device size, making it valuable for pulmonary ventilation monitoring. However, conventional EIT stimulation patterns face a trade-off dilemma between anti-noise performance and image interpretability. To address this challenge, we propose a novel mixed stimulation pattern that integrates opposite and adjacent stimulation patterns with a tunable weight ratio. The results of simulations and human experiments (involving 30 subjects) demonstrated that the mixed stimulation pattern uses 200 stimulation-measurement channels, preserves a high signal-to-noise ratio, improves lung separation, and reduces artifacts compared with the opposite and adjacent stimulation patterns. It maintained stable imaging at 600 μA of stimulation current amplitude (equivalent to 1 mA) and preserved most imaging and clinical indicators' stability at 200 μA (except GI/RVD<sub>SD</sub>). The adjustable weight ratio enables imaging performance to be flexibly adjusted according to different noise levels in acquisition environments. In conclusion, the pattern we proposed offers a superior alternative to traditional patterns, achieving a favorable balance of real-time capability, anti-noise performance, and image interpretability for pulmonary EIT imaging.

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Publication Details

Journal
Bioengineering
Published
2026-01-08
DOI
https://doi.org/10.3390/bioengineering13010072
Primary Topic
Electrical and Bioimpedance Tomography
Type
article
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article

A Novel Mixed Stimulation Pattern for Balanced Pulmonary EIT Imaging Performance

Zhijun Gao, Zhibo Zhao, Meng Dai, Li Yang et al.
Bioengineering
Electrical and Bioimpedance Tomography
article

A Novel Mixed Stimulation Pattern for Balanced Pulmonary EIT Imaging Performance

Zhijun Gao, Zhibo Zhao, Meng Dai, Li Yang, Zhanqi Zhao, Zilong Liu, Heyao Zhu, Feng Fu
article en

Abstract

Pulmonary electrical impedance tomography (EIT) offers non-invasive and real-time imaging in a compact device size, making it valuable for pulmonary ventilation monitoring. However, conventional EIT stimulation patterns face a trade-off dilemma between anti-noise performance and image interpretability. To address this challenge, we propose a novel mixed stimulation pattern that integrates opposite and adjacent stimulation patterns with a tunable weight ratio. The results of simulations and human experiments (involving 30 subjects) demonstrated that the mixed stimulation pattern uses 200 stimulation-measurement channels, preserves a high signal-to-noise ratio, improves lung separation, and reduces artifacts compared with the opposite and adjacent stimulation patterns. It maintained stable imaging at 600 μA of stimulation current amplitude (equivalent to 1 mA) and preserved most imaging and clinical indicators' stability at 200 μA (except GI/RVD<sub>SD</sub>). The adjustable weight ratio enables imaging performance to be flexibly adjusted according to different noise levels in acquisition environments. In conclusion, the pattern we proposed offers a superior alternative to traditional patterns, achieving a favorable balance of real-time capability, anti-noise performance, and image interpretability for pulmonary EIT imaging.

BioengineeringVol. 13(1)
Guangzhou Medical University (CN), Air Force Medical University (CN)
Openalex Percentile: Top 95%
Electrical and Bioimpedance Tomography
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