A. Record good ECG data
B. Prepare data for the tachogram1. Filter the ECG data
2. Transform the data using Template Correlation functionC. Create a tachogram
D. Identify problems with the tachogram data
E. Correct tachogram data
“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 ETVision (ETV) wearable unit resembles an eyeglasses frame that can be worn by itself or over the participant’s prescription eyeglasses. It contains miniature “eye cameras” that view each eye and a “scene camera” that views the scene in front of the participant, and a microphone. An optional visor can be mounted to the front […]
View AllBIOPAC provides software and hardware that allows research teams to study stimulus presentation data. Here are a few notable studies using BIOPAC equipment for research on stimuli’s effects using ECG and SCL data. Your Face Scares Me This study addressed the impact of individual differences in social anxiety by examining the effects of perceptual load and stimulus valence when […]
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, […]
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