eitprocessing: a Python package for analysis of Electrical Impedance Tomography data

The Journal of Open Source Software 2026 Open access

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Authors: Peter Somhorst, Dani L. Bodor, Juliette Francovich, Jantine J Wisse, Walter Baccinelli, Annemijn H. Jonkman
DOI: 10.21105/joss.08179
Cited by: 2
References: 12

Abstract

Electrical Impedance Tomography (EIT) is a promising non-invasive, radiation-free technology for monitoring the respiratory system.EIT is mostly used to optimize ventilator settings to the respiratory mechanics of mechanically ventilated patients in the Intensive Care Unit.While EIT is gaining popularity, the complexity of data processing, analysis and interpretation hampers standardization, validation and widespread adoption.Commercial software is closed and opaque, while custom research software is often ad-hoc, single use, and unverified.eitprocessing offers a standardized, open, and highly expandable pipeline for the processing and analysis of EIT and respiration related data.

Fields of Study & Subjects

Electrical and Bioimpedance Tomography Geophysical and Geoelectrical Methods Computational Physics and Python Applications

Publication details

Journal / source
The Journal of Open Source Software
Publisher
The Open Journal
Volume
11
Issue
117
Pages
8179–8179
Publication date
4 January 2026