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Related Experiment Video

Updated: Feb 22, 2026

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis
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SinusCor: an advanced tool for heart rate variability analysis.

Rhenan Bartels1, Leonardo Neumamm1, Tiago Peçanha2

  • 1Pulmonary Engineering Laboratory, Biomedical Engineering Program, COPPE, Federal University of Rio de Janeiro, Cidade Universitária, Rio de Janeiro, Brazil.

Biomedical Engineering Online
|September 20, 2017
PubMed
Summary

This study introduces SinusCor, a free software for heart rate variability (HRV) analysis. It supports both stationary and non-stationary HRV data, offering a comprehensive tool for assessing cardiac autonomic function.

Keywords:
Heart rate variabilityNon-stationary signalSoftwareTime–frequency

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Area of Science:

  • Cardiology
  • Biomedical Engineering
  • Physiology

Background:

  • Heart rate variability (HRV) is crucial for assessing cardiac autonomic function using non-invasive methods.
  • Traditional HRV analysis relies on stationary RR interval (RRi) signal processing, limiting its application in dynamic conditions like tilt tests or exercise.
  • Existing methods for stationary HRV analysis include time-domain, frequency-domain, statistical, and geometrical approaches.

Purpose of the Study:

  • To introduce SinusCor, a novel, free software designed for comprehensive heart rate variability (HRV) analysis.
  • To provide tools within SinusCor for analyzing both stationary and non-stationary RR interval (RRi) data.
  • To incorporate advanced time-frequency analysis techniques for a more complete HRV assessment.

Main Methods:

  • Development of SinusCor software incorporating classical time and frequency domain HRV indices.
  • Implementation of methods for non-stationary HRV analysis, including moving segment calculations for root mean squared of successive differences (RMSSD).
  • Inclusion of time-frequency analysis techniques for dynamic HRV assessment.

Main Results:

  • SinusCor successfully calculated standard time and frequency domain HRV indices from an example RRi dataset.
  • Time-varying and time-frequency analyses were demonstrated using RMSSD and total power.
  • Validation against Kubios v 3.0.1 showed comparable results for key HRV parameters (RMSSD, SDNN, LF, HF, LF/HF ratio).

Conclusions:

  • SinusCor is a versatile and free software tool for analyzing both stationary and non-stationary heart rate variability data.
  • The software provides a valuable resource for researchers and clinicians studying cardiac autonomic function.
  • SinusCor's capabilities extend to advanced time-frequency analyses, offering deeper insights into HRV.