Python library to parse and visualize aECG files.
pip install aecg
- Read your aECG xml file.
import aecg
file_path = r"tests/data/Example aECG.xml"
aecg_o = aecg.read(file_path)- Use
summaryto 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")