Electrogram (EGM)¶

Electrogram (EGM) signals are intracardiac electrical recordings acquired by catheters or implanted leads, offering localized information about atrial or ventricular activation. EGM analysis is useful in electrophysiology workflows, including rhythm characterization and arrhythmia assessment.

API quick links: biosppy.signals.egm | biosppy.signals.egm.egm()

Example bipolar EGM signal in sinus rhythm.

Quick Usage with `biosppy.signals.egm.egm()`¶

import numpy as np
from biosppy.signals import egm

signal = np.loadtxt("examples/egm_bipolar_sinus.txt")

out = egm.egm(
    signal=signal,
    sampling_rate=1000.0,
    type="bipolar",
    show=False,
)
print(out.keys())

Inputs

signal: intracardiac EGM waveform.
sampling_rate: acquisition frequency in Hz.
type / rhythm / method / threshold: options controlling morphology and event-detection behavior.

Outputs

A ReturnTuple with filtered EGM signals and arrhythmia/event-related descriptors according to the chosen method.
Use out.keys() to inspect exact return fields.