# A Novel Mixed Stimulation Pattern for Balanced Pulmonary EIT Imaging Performance

**Authors:** Zhibo Zhao, Zhijun Gao, Heyao Zhu, Zhanqi Zhao, Meng Dai, Zilong Liu, Feng Fu, Lin Yang

PMC · DOI: 10.3390/bioengineering13010072 · Bioengineering · 2026-01-08

## TL;DR

A new stimulation pattern improves pulmonary EIT imaging by balancing noise resistance and image clarity.

## Contribution

A tunable mixed stimulation pattern is introduced to enhance pulmonary EIT performance.

## Key findings

- The mixed pattern improves signal-to-noise ratio and reduces artifacts in EIT imaging.
- It maintains stable imaging at low stimulation current levels.
- The pattern allows flexible adjustment based on noise levels in the environment.

## 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/RVDSD). 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.

## Full-text entities

- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

11 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12837143/full.md

## References

42 references — full list in the complete paper: https://tomesphere.com/paper/PMC12837143/full.md

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Source: https://tomesphere.com/paper/PMC12837143