R-R Intervals (RRI) / HRV¶

R-R interval (RRI) signals represent the beat-to-beat timing series extracted from cardiac peaks and are the core input for heart rate variability (HRV) analysis. RRI processing helps quantify autonomic modulation through temporal and spectral descriptors.

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

Example RRI signal plot.

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

import numpy as np
from biosppy.signals import hrv

# RRI in milliseconds.
rri = np.loadtxt("examples/rri.txt")

out = hrv.hrv(rri=rri, sampling_rate=1000.0, show=False)
print(out.keys())

Inputs

rri: beat-to-beat intervals (ms), or alternatively rpeaks with sampling_rate to derive RRI internally.
rri_min / rri_max: optional physiological bounds for artifact control.
parameters: which HRV feature families to compute.

Outputs

A ReturnTuple with HRV results (time-domain, frequency-domain, and non-linear descriptors, depending on selected parameters).
Use out.keys() to inspect all computed metrics.

Example of HRV summary plot:

Example HRV summary plot.