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.
This EDA webinar will cover recording techniques and strategies for optimizing electrodermal activity data quality. Emphasis will focus on signal quality for in-lab and remote recording applications, including techniques for capturing event triggers for event-related applications.
You will learn how to
– Record great EDA data
– Prepare data for analysis
– Identify and remove artifact from data
– Use AcqKnowledge automated routines
– Run Batch processing
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Register NowResearchers utilize electrodermal activity (EDA) data in a wide array of protocols. These recent studies join thousands of BIOPAC citations for EDA and represent just a few of BIOPAC’s hardware options for wired, wireless, logged, or MRI protocols with reusable or disposable EDA accessories and AcqKnowledge software solutions for Automated EDA Analysis Routines and EDA Measurement Tools. Caffeine Delivery […]
BIOPAC’s comprehensive EDA Guide provides an introduction to Electrodermal Activity (EDA or GSR) and details topics including: EDA Complex: SCL, SCR, tonic, phasic, specific SCR, non-specific SCR Participant Prep & Electrode Placement Data Recording tips Automated EDA Analysis Routines Digital input to Stim Events Stim-Response Analysis Derive Phasic EDA from Tonic Event-related EDA Analysis Locate […]
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