Plot standard ECG chart from data
Plot standard ECG chart from data.
- Support both direct plotting and plotting SVG preview in browser (currently only works on mac)
- Support saving PNG and SVG to disk
- Support customer defined lead order
- Support customer defined column count
pip install ecg_plot
- Input data should be m x n matrix, which m is lead count of ECG and n is length of single lead signal.
- Default sample rate is 500 Hz.
Plot 12 lead ECG
|ecg||m x n ECG signal data, which m is number of leads and n is length of signal.|
|sample_rate||Sample rate of the signal.|
|title||Title which will be shown on top off chart|
|lead_index||Lead name array in the same order of ecg, will be shown on left of signal plot, defaults to ['I', 'II', 'III', 'aVR', 'aVL', 'aVF', 'V1', 'V2', 'V3', 'V4', 'V5', 'V6']|
|lead_order||Lead display order|
|columns||display columns, defaults to 2|
|style||display style, defaults to None, can be 'bw' which means black white|
|row_height||how many grid should a lead signal have|
|show_lead_name||show lead name|
|show_separate_line||show separate line|
import ecg_plot ecg = load_data() # load data should be implemented by yourself ecg_plot.plot(ecg, sample_rate = 500, title = 'ECG 12') ecg_plot.show()
Plot single lead ECG
import ecg_plot ecg = load_data() # load data should be implemented by yourself ecg_plot.plot_1(ecg, sample_rate=500, title = 'ECG') ecg_plot.show()
Save result as png
import ecg_plot ecg = load_data() # load data should be implemented by yourself ecg_plot.plot_12(ecg, sample_rate = 500, title = 'ECG 12') ecg_plot.save_as_png('example_ecg','tmp/')
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