Electrodermal Activity (EDA) is an objective index for understanding emotional states. Researchers measure EDA to gain insights on psychological or physiological response, leading them down the path of scientific discovery.
Because EDA is so important to research, BIOPAC has created tools to optimize event-related EDA analysis. Join Frazer Findlay, CEO of BIOPAC, to learn how you can improve your EDA analysis techniques. Frazer will run through an example of what the data looks like, he’ll show how it is converted, how to easily run the analysis, and he’ll brief you on the issues you may encounter.
What will you learn:
How to convert stim events from E-Prime SuperLab, Presentation, Vizard, etc., into AcqKnowledge events that can used for analysis.
How to identify skin conductance responses.
How to score skin conductance responses using the AcqKnowledge automated EDA analysis tool.
How to take additional measurements beyond the measurements that are extracted using the automated tool.
Plus, a LIVE DEMO of AcqKnowledge Software and the built-in automated EDA analysis tool.
Frazer Findlay is CEO of BIOPAC and has more than 25 years’ 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 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.
The best ways to set up participants to record good data for life science research and teaching labs. – Which electrode? – Which lead? – Do I need Ground (GND)? – Best placement? – Best recording system?
We’re turning on the web cam and showing you LIVE how to best prep participants for a variety of life science signals and measurements.
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