Phonocardiogram (PCG)¶

Phonocardiogram (PCG) signals capture acoustic information from heart sounds, including S1 and S2 components and their temporal structure. PCG analysis can complement electrical measurements and help characterize mechanical aspects of cardiac function.

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

Example PCG signal plot.

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

import numpy as np
from biosppy.signals import pcg

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

out = pcg.pcg(signal=signal, sampling_rate=1000.0, show=False)
print(out.keys())

Inputs

signal: raw phonocardiogram waveform.
sampling_rate: acquisition frequency in Hz.
units / path / show: optional metadata, save path, and plotting flag.

Outputs

A ReturnTuple with processed PCG outputs, including filtered signal, heart-sound markers, and heart-rate related descriptors.
Use out.keys() to inspect all available fields.

Example of PCD summary plot:

Example PCG signal summary plot.