A Novel Mixed Stimulation Pattern for Balanced Pulmonary EIT Imaging Performance

Area of Science:

• Biomedical Engineering
• Medical Imaging

Background:

• Pulmonary electrical impedance tomography (EIT) is crucial for non-invasive, real-time lung ventilation monitoring.
• Traditional EIT stimulation patterns present a challenge in balancing noise reduction and image interpretability.

Purpose of the Study:

• To introduce and evaluate a novel mixed stimulation pattern for pulmonary EIT.
• To overcome the limitations of conventional EIT stimulation methods.

Main Methods:

• Developed a mixed stimulation pattern integrating opposite and adjacent patterns with a tunable weight ratio.
• Conducted simulations and human experiments with 30 subjects using 200 stimulation-measurement channels.
• Assessed imaging performance at various stimulation current amplitudes (200 μA and 600 μA).

Main Results:

• The mixed pattern demonstrated improved signal-to-noise ratio, enhanced lung separation, and reduced artifacts compared to traditional patterns.
• Stable imaging was maintained at 600 μA, with most indicators stable at 200 μA.
• The adjustable ratio allowed flexible adaptation to different noise levels.

Conclusions:

• The proposed mixed stimulation pattern offers a superior alternative for pulmonary EIT.
• Achieved a favorable balance between real-time capability, anti-noise performance, and image interpretability.
• Provides a flexible solution for optimizing pulmonary EIT imaging in diverse environments.