Recognition of Lung Volume Condition based on Phase Space Mapping Using Electrical Impedance Tomography

Area of Science:

• Biomedical Engineering
• Medical Imaging
• Respiratory Physiology

Background:

• Electrical Impedance Tomography (EIT) is a non-invasive imaging technique that measures electrical conductivity and permittivity within the body.
• Assessing lung function is crucial for diagnosing and managing respiratory diseases.
• Existing methods for lung function assessment may have limitations in accuracy or invasiveness.

Purpose of the Study:

• To differentiate between normal and abnormal lung signals obtained via EIT.
• To investigate lung performance using Phase Space Mapping on EIT signals.
• To establish a quantitative method for assessing lung volume deviations.

Main Methods:

• Utilized a database of 82 EIT records from 52 individuals with varying lung volumes.
• Applied the Phase Space Mapping technique to analyze EIT signals.
• Investigated the impact of the delay parameter (τ) on the SD1 parameter of phase space mapping.

Main Results:

• The SD1 parameter of phase space mapping showed significant differences between normal and abnormal lung volumes as the delay parameter (τ) increased.
• Specifically, at τ = 6, the SD1 value for normal lung volume was 342.57 ± 32.75, compared to 156.71 ± 26.01 for non-optimal lung conditions.
• This indicates a clear distinction in lung signal characteristics based on volume status.

Conclusions:

• The developed Phase Space Mapping technique on EIT signals is effective for identifying abnormal lung volumes.
• This method offers an accurate assessment for patients with chronic respiratory illnesses.
• Potential benefits include optimizing treatment strategies, reducing costs, and minimizing adverse outcomes associated with improper treatments.