# Enhancing tidal volume estimation from electrical impedance tomography (EIT) by applying human anthropometric information

## TL;DR

This study shows how tidal volume can be better estimated from EIT measurements by incorporating human body characteristics like weight, height, and PEEP.

## Contribution

The study introduces a method to enhance tidal volume estimation using anthropometric data in EIT.

## Key findings

- Normalized dZ correlated strongly with tidal volume per ideal bodyweight in individual patients.
- Including PEEP, gender, weight, and height improved the model's accuracy for the patient group.
- Female gender and higher weight decreased normalized dZ, while higher tidal volume and PEEP increased it.

## Abstract

Electrical impedance tomography (EIT) is a functional imaging technique to monitor regional ventilation. However, the quantification of clinically used ventilation parameters like tidal volume (VT) has not been possible yet since EIT measures relative and not absolute changes in impedance. Thus, the study aimed to evaluate the relationship between impedance changes (dZ) and VT in humans and to identify influencing factors.

27 patients undergoing elective surgery under general anaesthesia were equipped with a commercially available EIT belt. Measurements were performed at four VTs (6, 8, 10 and 12 mL/BW) on each of four PEEP levels (0, 5, 10 and 15 cmH2O). Linear regression analysis was performed for normalized dZ and VT per ideal bodyweight (VT_IBW). Additionally, PEEP, gender, age, height and weight were analysed as potential influencing factors.

Regression analysis for individual patients showed good correlations between VT_IBW and normalized dZ (mean R2 0.890 ± 0.15). However, for the group of patients, correlations were rather weak (R2 0.485). Including additional factors improved the model (adjusted R2 0.767), with VT_IBW having the biggest impact, followed by weight, height and PEEP; age did not contribute to it significantly. Higher VT_IBW, PEEP and height increased, while female gender and higher weight decreased normalized dZ.

Normalized dZ correlated strongly with VT_IBW in the individual ventilated humans but more weakly when analyzing the cohort. PEEP, gender, weight and height were identified as additional influencing factors.

This study was prospectively registered at the German Register of Clinical Studies (Deutsches Register Klinischer Studien; DRKS00027226) on 3rd December 2021.