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Dicom ECG Viewer and Converter. Convert to PDF, PNG, JPG, SVG, ...
Python
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README.md

ECG Dicom Convert

Dicom ECG plot

A python tool to plot Dicom ECG.

The DICOM file can also be specified as studyUID seriesUID objectUID and retrieved from your WADO server.

Github repository: here

THE PROGRAM IS DISTRIBUTED IN THE HOPE THAT IT WILL BE USEFUL, BUT WITHOUT ANY WARRANTY OF ANY KIND.

Online demo

demo site You can convert your own DICOM files or use preloaded sample files from different modality models.

Install

python3 -m venv ecg
. ecg/bin/activate
pip install dicom-ecg-plot

Usage of dicom-ecg-plot tool

dicom-ecg-plot <inputfile> [--layout=LAYOUT] [--output=FILE|--format=FMT] --minor-grid
dicom-ecg-plot <stu> <ser> <obj> [--layout=LAYOUT] [--output=FILE|--format=FMT] --minor-grid
dicom-ecg-plot --help

Examples:

dicom-ecg-plot anonymous_ecg.dcm -o anonymous_ecg.pdf
dicom-ecg-plot anonymous_ecg.dcm --layout 6x2 --output anonymous_ecg.png
dicom-ecg-plot anonymous_ecg.dcm --format svg > anonymous_ecg.svg

The input can be a (dicom ecg) file or the triplet studyUID, seriesUID, objectUID. In the latter case dicom file is downloaded via WADO.

If --output is given the ouput format is deduced from the extension of the FILE. If the output file is not given --format must be defined. Supported output formats are: eps, jpeg, jpg, pdf, pgf, png, ps, raw, rgba, svg, svgz, tif, tiff.

By default the 5mm grid is drawn, --minor-grid add the minor grid (1mm).

The signals are filtered using a lowpass (40 Hz) butterworth filter of order 2.

LAYOUT can be one of: 3x4_1 (that is 3 rows for 4 columns plus 1 row), 3x4, 6x2, 12x1 (default: 3x4_1). New layouts can be defined adding the corresponding matrix in LAYOUT dictionary in config.py.

References

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