Respiration (RESP)¶

Respiration (RESP) signals describe breathing dynamics over time and provide useful information about respiratory rate, cycle morphology, and ventilatory patterns. They are frequently analyzed alongside cardiovascular signals to capture cardiorespiratory interactions.

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

Example respiration signal plot.

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

import numpy as np
from biosppy.signals import resp

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

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

Inputs

signal: raw respiration waveform.
sampling_rate: acquisition frequency in Hz.
units / path / show: optional metadata and plotting options.

Outputs

A ReturnTuple with processed respiration outputs, including timestamps, filtered signal, respiratory cycle markers, and rate-related information.
Use out.keys() to inspect exact output names.

Example of RESP summary plot:

Example RESP signal summary plot.