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Electrodermal Activity Data | Intro to Recording & Analysis

Thursday, July 14, 2022

On-Demand Playback

Tonic and Phasic EDA/ GSR data

This EDA webinar presents recording techniques and strategies for optimizing electrodermal activity data quality. Emphasis is focused on signal quality for in-lab and remote recording applications, including techniques for capturing event triggers for event-related applications. The presentation also covers artifact identification and removal from data. AcqKnowledge automated analysis routines for skin conductance scoring and event-related analysis, and scripting and Workflow automation will be demonstrated. Batch processing and further custom automation will complete the webinar.

You will learn how to:

  • Record great EDA data for
    • Event-related applications
    • Spontaneous in-lab and remote applications
  • Prepare data for analysis
  • Identify and remove artifact from data
  • Analyze EDA data using AcqKnowledge automated routines
  • Run Batch processing and further automation with Scripting and Workflow


Presenter: Frazer Findlay

Frazer Findlay is CEO of BIOPAC and has more than 25 years of experience in life science data acquisition and analysis. Frazer is a well-regarded expert in the physiology monitoring industry and has facilitated workshops in the U.S., Europe, and Asia. He is familiar with a variety of software, equipment, and laboratory protocols for a wide array of signals and measurements. Frazer joined BIOPAC in 1996 when he moved from the UK to Santa Barbara as the Domestic Sales Manager. He became CEO in 2008 and has continued to develop and grow the business while also working with physiology measurement and biometric companies to improve the physiology monitoring industry.

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Related Webinars

EDA| Recording Great EDA Data
EDA | Analysis Essentials
EDA Analysis Tips and Tricks in AcqKnowledge
Optimize Event-Related EDA
Event-Related EDA Combined with Stimulus Presentation: Set up, Optimize Quality, and Analyze
Measuring the Emotional State of Guilt with Eye Tracking, EDA/GSR & fMRI
Emotion and Objective Physiological Measures

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