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Related Experiment Video

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Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver

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Published on: June 27, 2025

Kubios HRV--heart rate variability analysis software.

Mika P Tarvainen¹, Juha-Pekka Niskanen, Jukka A Lipponen

¹Department of Applied Physics, University of Eastern Finland, Kuopio, Finland; Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland.

Computer Methods and Programs in Biomedicine

|September 24, 2013

Summary

This summary is machine-generated.

Kubios HRV software offers comprehensive heart rate variability (HRV) analysis, supporting various data inputs and computing diverse HRV parameters. This advanced, user-friendly tool is freely available for Windows and Linux.

Keywords:

Analysis software Computer program HRV Heart rate variability Matlab

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Published on: September 22, 2023

Area of Science:

Physiology
Biomedical Engineering
Computer Science

Background:

Heart rate variability (HRV) analysis is crucial for assessing autonomic nervous system function.
Accurate HRV analysis requires robust software capable of handling diverse physiological data.
Existing software may lack comprehensive features or user-friendliness for researchers.

Purpose of the Study:

To introduce Kubios HRV, an advanced and user-friendly software for heart rate variability analysis.
To detail the capabilities of Kubios HRV in processing electrocardiogram (ECG) and RR interval data.
To highlight the software's features for comprehensive time-domain, frequency-domain, and nonlinear HRV parameter computation.

Main Methods:

The software utilizes an adaptive QRS detection algorithm and includes artifact correction tools.
It supports multiple input data formats, including ECG and beat-to-beat RR intervals.
Adjustable analysis settings allow for optimization of HRV analysis methods for different datasets.

Main Results:

Kubios HRV computes all standard time-domain, frequency-domain, and nonlinear HRV parameters.
The software provides ECG-derived respiratory frequency for enhanced interpretation.
Analysis results are exportable in various formats (ASCII, MAT, PDF) for further use.

Conclusions:

Kubios HRV is a powerful, versatile, and accessible tool for physiological researchers.
Its ease of use and comprehensive features facilitate reliable HRV analysis.
The software is available free of charge, promoting wider adoption in scientific research.