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.
Eyes are the window to the soul and, more importantly, the brain. Psychophysiology, neuroscience, and consumer neuroscience researchers use eye tracking technology to understand emotion, behavior, subject response, decision-making, and human performance—and to help improve products and services. But not everyone knows where to start or how and why to use this important technology. A panel of eye tracking experts will present typical use cases and the latest eye tracking technology.
Watch this on-demand presentation with Q&A to learn the fundamentals of eye tracking!
Solving Physical Stress Issues for Surgeons Physical stress in the operating room is common for surgeons, considering how much time they spend in an upright standing position during surgical procedures. With procedures that require standing for several hours and average reported working times of 60-80 hours a week, surgeons seem to be at risk for musculoskeletal […]
BIOPAC combines eye tracking with mobile data logging and physiology data collection to run experiments in the lab or in the real world BIOPAC Systems, Inc. is pleased to announce new eye tracking integration for researchers who conduct experiments from mobile participants in diverse locations. ETVision (EYE-ETV) eye tracking glasses now integrate with BIOPAC wireless systems and software, […]