eitprocessing 1.4.1

Processing of lung image data from electrical impedance tomography.

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Contents

• Introduction
• Installation
  • Install from PyPi
    • Developer install
• Documentation
• Contributing
• Credits

Introduction

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.

Installation

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.

Install from PyPi

eitprocessing can be installed from PyPi as follows:

pip install eitprocessing

Developer install

For full developer options (testing, etc):

git clone [e-mail]:EIT-ALIVE/eitprocessing.git
cd eitprocessing
pip install -e ".[dev]"

Documentation

Please see our user documentation for a detailed explanation of the package.

Contributing

We welcome any contributions or suggestions. If you want to contribute to the development of eitprocessing, have a look at the contribution guidelines and the developer documentation.

Credits

This package was created with Cookiecutter and the NLeSC/python-template.