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.
Cardiovascular insights are much easier to achieve with this new integration from BIOPAC and CNSystems. The CNAP™ technology is now fully incorporated in a single BIOPAC amplifier for the MP160 system where it can be fully controlled by AcqKnowledge Software—optimized for research utilizing core CNAP clinical technology.
What you will learn: • Correct equipment set up and operation • Principles of the CNAP measurement technology • How to get reproducible data • How to interface equipment and optimize multiple measurements • Automatic blood pressure analysis • Application of the “Focus Areas” feature in AcqKnowledge Software
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