Metadata-Version: 2.1
Name: dicom-ecg-plot
Version: 1.3.3
Summary: Plot Dicom ECG Waveforms
Home-page: https://github.com/marcodebe/dicomecg_convert
Author: Marco De Benedetto
Author-email: debe@galliera.it
License: UNKNOWN
Description: [logo]: https://raw.github.com/marcodebe/dicomecg_convert/master/images/logo.png
        ![ECG Dicom Convert][logo]
        
        # 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](https://github.com/marcodebe/dicomecg_convert)
        
        **THE PROGRAM IS DISTRIBUTED IN THE HOPE THAT IT WILL BE USEFUL, BUT WITHOUT ANY WARRANTY OF ANY KIND.**
        
        
        ## Online demo
        **[demo site](https://ecg.galliera.it)** 
        You can convert your own DICOM files or use preloaded sample files from different modality models.
        
        ## Install
        ```bash
        python3 -m venv ecg
        . ecg/bin/activate
        pip install dicom-ecg-plot
        ```
        
        ## Usage of `dicom-ecg-plot` tool
        ```bash
        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:
        ```bash
        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](http://medical.nema.org/Dicom/2011/11_18pu.pdf).
        
        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](http://en.wikipedia.org/wiki/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
         * http://medical.nema.org/Dicom/supps/sup30_lb.pdf
         * http://dicomlookup.com/html/03_03PU.html#LinkTarget_229354
         * http://libir.tmu.edu.tw/bitstream/987654321/21661/1/B09.pdf
         * [Mortara ECG Conformance Statement](http://www.mortara.com/fileadmin/user_upload/global/Products/Healthcare/DICOM/ELI%20Electrocardiographs%20DICOM%20Conformance%20Statement.pdf)
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Classifier: Intended Audience :: Healthcare Industry
Description-Content-Type: text/markdown
