BIOPAC® Systems, Inc. Logo

Heart Rate Variability (HRV) Analysis Software

HRV epoch analysis

AcqKnowledge® includes a series of automated Heart Rate Variability (HRV) analysis tools that conform to international cardiology standards. It is possible to perform the analysis over user-defined selections of data, or automatically within user-specified time periods, or between stimulus presentation event marks, or user entered event marks. The user can also create focus areas in real time or post-acquisition and the software will analyze the data within areas.

Options for:

Single-epoch HRV–Spectral
Single-epoch HRV is the examination of a user defined area of data.

Multi-epoch HRV–Statistical
This analysis computes statistical measures of heart rate variability in user-specified time intervals These measures (RMSSD, SDSD, and pNN50) can be extracted by fixed time intervals, time between event boundaries or focus areas.

Multi-epoch HRV and RSA–Spectral
This routine performs RSA and HRV analyses on specified time slices along an ECG waveform, whether by markers, fixed-time intervals, or focus areas.

R-R Poincare Plot
Poincare plots are constructed from ECG Lead II data. A Poincare plot is an X/Y plot with R-R intervals in seconds on one axis and on the other axis the sequence delayed by one beat (RR vs. RR+1).

RSA–Time-series
This particular method looks at the time domain data and uses the peak and valley method to compute Respirator Sinus Arrhythmia. It is used to explore the connection between respiration and changes to heart rate. Variations in the heart rate can be directly correlated with vagal tone. The RSA index can be used to investigate changes in this connection during recording.

Learn more in the HRV Webinar Series: Part 1 Time Domain Measures, Part II Frequency Domain Measures.

See More...

Details

This is one of many ADVANCED FEATURES for the selected Application. Scroll down for hardware options.

AcqKnowledge® research software includes a fully-automated Heart Rate Variability analysis tool. The algorithm conforms to the frequency domain algorithm guidelines as published by the European Heart Journal. These  are the formulas AcqKnowledge uses to calculate HRV statistical measures (RMSSD, pNN50, and SDSD):

HRV statistical formulas

For optimal results, follow these suggestions for Preparing HRV Data for Analysis. For additional reference, see Shaffer, F., & Ginsberg, J. P. (2017). An Overview of Heart Rate Variability Metrics and Norms. Frontiers in public health5, 258. https://doi.org/10.3389/fpubh.2017.00258.

  • There are two methods for extracting the RR intervals from the ECG signal:
    • A modified Pan-Tompkins QRS detector
    • Events located in the file – ECG QRS Peak event

HRV interpolated tachogram

  • The RR intervals are re-sampled to a continuous sampling rate in order to extract frequency information.
    • Cubic-spline interpolation is used to generate this continuous time-domain representation of the RR intervals.

HRV Analysis PSD data

  • The frequency information is extracted from the RR intervals and analyzed to produce standard ratios. Power sums are reported in units of sec2/Hz. A Welch periodogram is used to generate the Power Spectral Density (equivalent to Transform > Power Spectral Density).

 HRV Analysis Poincare Plot

  • The software reports values for the typical HRV frequency bands, including: Very Low Frequency, Low Frequency, High Frequency, and Very High Frequency ranges. The analysis also includes values for the overall ratios: Sympathetic, Vagal and Sympathetic – Vagal balance. The ratio values and frequency band results can be plotted into a Journal file or exported for further analysis.

HRV epoch analysis

AcqKnowledge also inlcudes a Poincare plot option that will display either selected areas of the data, or the entire file. The Poincare plot is an X/Y plot of the RR intervals in seconds. One axis displays the RR interval and the other axis displays the interval delayed by one beat.

HRV Analysis Poincare Plot

 


Note: The BioHarness is not recommended for heart rate variability studies because the sample rate used to record the ECG waveform is at the very low end of the optimal range for HRV studies.

Videos

On Demand Webinar: HRV & RSA – FUNDAMENTAL ANALYSIS TECHNIQUES
Fundamental techniques for analyzing Heart Rate Variability and Respiratory Sinus Arrhythmia data with AcqKnowledge software.

Recording Good Quality ECG for HRV

HRV Analysis: Fully-automated Routine in AcqKnowledge

RSA Analysis

Epoch Analysis Demonstration

BIOPAC Research Solutions | ECG

Support

Application Notes

Knowledge Base

Hardware Packages   |   Heart Rate Variability (HRV) Analysis Software

Hardware Bundles are complete solutions for the specified application. Choose your preferred platform and bundle, then click "Request Pricing" to request an estimate, add/remove items, or complete purchase. If you have questions about specific items, click through to the product web page for details and specifications, or contact your Local Sales contact.

Wired

Wireless

MRI

Animal

Spotlight On
free BIOPAC webinar

Ergonomics & Fatigue Series Part II: Cognition & Neuroergonomics

Learn about the tools you can use in neuroergonomics research such as fNIRS, EEG with cognitive state detection, and eye tracking.

You Will Learn:
– Data analysis for fNIRS, EEG, HRV, and eye tracking (including pupillometry, saccades)
– How to perform experiments in VR
– Automation and standardization
– Tips and tricks for getting optimal data quality
– Demonstration
Join Live
December 1st
8am PT / 11am ET

Register Now
Latest News

New Citations | BIOPAC in Ergonomics

Whether using specialized equipment, performing repetitive tasks, or simply going about our daily work routine, the effects of design in our environment as well as the tools we use and the way we use them can impact our health, work performance, and quality of life. Here are a few studies that have recorded and analyzed […]

EDA Guide Available

BIOPAC’s comprehensive EDA Guide provides an introduction to Electrodermal Activity (EDA or GSR) and details topics including: EDA Complex: SCL, SCR, tonic, phasic, specific SCR, non-specific SCR Participant Prep & Electrode Placement Data Recording tips Automated EDA Analysis Routines Digital input to Stim Events Stim-Response Analysis Derive Phasic EDA from Tonic Event-related EDA Analysis Locate […]

Read All
Request a Demonstration
Request a Demonstration