BIOPAC® Systems, Inc. Logo

233 – Heart Rate Variability – Preparing Data for Analysis

This Application Note explains how to optimize ECG R-R interval data for Heart Rate Variability studies by using a template matching approach. It also explains how to identify erroneous R-R interval values caused by signal artifact and shows methods for correcting the errors by using the tools in the AcqKnowledge software. The note explains how to:

A. Record good ECG data
B. Prepare data for the tachogram

1. Filter the ECG data
2. Transform the data using Template Correlation function
C. Create a tachogram
D. Identify problems with the tachogram data
E. Correct tachogram data
Recording good data is essential for performing HRV analysis. The protocol outlined for data acquisition, filtering, artifact detection and correction results in great improvements in HRV analysis.
“Results reveal that even a single heart period artifact, occurring within a 2-min recording epoch, can lead to errors of estimate heart period variability that are considerably larger than typical effect sizes in psychophysiological studies.”
—Berntson & Stowell, 1998

For the Application Note detailing HRV Calculations, see Application Note 129 – Heart Rate Variability. For an automated HRV script, see Script 056: Calculating HRV Statistics.

Associated Applications

Spotlight On
Buy MP41 with BSL

Practical Lab Kit with BSL 4 & MP41

BSL Home enables students to safely conduct hands-on physiology labs wherever they are! Purchase this complete lab solution to preserve practical lab experience! Includes MP41 Unit+Lead Set with BSL Home software, EL503 electrodes, WRAP1 self-adhering wrap for EEG lessons, and disposable 9 V battery. For instructors—BSL Home makes it easy for instructors to continue running practical […]

View All
Latest News

New Citations | Keeping Students Attentive in an Online Setting & More!

BIOPAC provides software and hardware that allows research teams to record and analyze numerous body signals for physiological experimentation. Here are a few notable studies using BIOPAC equipment for ECG, EDA, and Respiration data. What Keeps Students More Engaged? The question has been brought to the forefront during COVID, what variations of online learning keep students more engaged? […]

Electrocardiography Guide Now Available

BIOPAC’s comprehensive Introductory ECG Guide addresses fundamental to advanced concerns to optimize electrocardiography data recording and analysis. Topics include: ECG Complex; Electrical and Mechanical Sequence of a Heartbeat; Systole and Diastole; Configurations for Lead I, Lead II, Lead III, 6-lead ECG, 12-lead ECG, precordial leads; Ventricular Late Potentials (VLPs); ECG Measurement Tools; Automated Analysis Routines for extracting, […]

Read All
Request a Demonstration
Request a Demonstration