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.
Many studies use hand dynamometry to objectively quantify exerted effort during experiments most commonly related to the study of motivation.
We’ll focus on this topic and go over everything you need to know to record dynamometry data in the MRI or in the lab. Topics include
– Calibrating for maximum voluntary contraction (MVC)
– Real-time access to the dynamometer signal by third-party applications
– How researchers have used this equipment
– Creating a visual task that gives feedback on exerted effort as well as rewards to the participant
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