aecg 0.1.2

Python parser and viewer for Annotated ECG HL7 files

aECG (Python parser for annotated ECG HL7 files)

Python library to parse and visualize aECG files.

Demo

Installation

pip install aecg

Usage

• Read your aECG xml file.

import aecg

file_path = r"tests/data/Example aECG.xml"
aecg_o = aecg.read(file_path)

• Use summary to get an overview of the data.

aecg_o.summary()

{
    'id': UUID('61d1a24f-b47e-41aa-ae95-f8ac302f4eeb'),
    'date': datetime.datetime(2002, 11, 22, 9, 10),
    'series_count': 1,
    'annotations_count': 167,
}

• Get waveforms dataframes and their associated plots.

titles = []
dfs = []
figs = []

for serie in aecg_o.series:
    for i, seq_set in enumerate(serie.sequence_sets, 1):
        title = f"Serie {serie.id} | Sequence set {i}"
        df = seq_set.get_sequences_df()
        fig = aecg.plotter.plot_seq_set(df, title=title)
        dfs.append(df)
        titles.append(title)
        figs.append(fig)

    for i, seq_set in enumerate(serie.derived_sequence_sets, 1):
        title = f"Serie {serie.id} | Derived sequence set {i}"
        df = seq_set.get_sequences_df()
        fig = aecg.plotter.plot_seq_set(df, title=title)
        dfs.append(df)
        titles.append(title)
        figs.append(fig)

dfs[0]

figs[0].show()

• You can choose to plot all the curves together.

aecg.plotter.plot_seq_set(dfs[0], plot_mode="one")