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Processing of data from electrical impedance tomography and other respiratory monitoring tools.
Electrical Impedance Tomography (EIT) is a noninvasive and radiation-free continuous imaging tool for monitoring respiratory mechanics. eitprocessing aims to provide a versatile, user-friendly, reproducible and reliable workflow for the processing and analysis of EIT data and related waveform data, like pressures and flow.
eitprocessing includes tools to load data exported from EIT-devices from several manufacturers, including Dräger, SenTec and Timpel, as well as data from other sources. Several pre-processing tools and analysis tools are provided.
eit_dash provides an accompanying GUI.
We welcome any contributions or suggestions
It is advised to install eitprocessing in a dedicated virtual environment. See e.g. Install packages in a virtual environment using pip and venv or Getting started with conda.
For conda (using 'eit-alive' as example environment name; you can choose your own):
conda create -n eit-alive python=3.10
conda activate eit-alive
eitprocessing can be installed from PyPi as follows:
- For basic use:
pip install eitprocessing - For full developer options (testing, etc):
git clone git@github.com:EIT-ALIVE/eitprocessing.gitcd eitprocessingpip install -e ".[dev]"
Please see our usage documentation for a detailed explanation of the package.
If you want to contribute to the development of eitprocessing, have a look at the contribution guidelines and the developer documentation.
This package was created with Cookiecutter and the NLeSC/python-template.