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.
The Ventilator Validation Kit supports new prototype development, existing design validation for production testing, mobile field testing and verification, and other uses where accurate pressure and flow measurements are critical. The Ventilator Validation Kit provides ventilator manufacturers and prototype developers with a complete solution for validating new medical/hospital-grade ventilator products intended for human use. The VVK100-SYS includes […]
BIOPAC provides software and hardware that allows engineers to study the body. Here are a few notable studies using BIOPAC equipment for Biomedical Engineering research. Rehabilitating the Rehab Industry Could physical therapy be done from the comforts of your own home? If possible, this would open the door for more people with all sorts of ailments to […]
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, […]