Human facial expressions are tied to human emotion. Feelings of fear, surprise, happiness, disgust, sadness, and anger can be understood by researchers recording Facial electromyography (fEMG) data. Activities in the zygomaticus major muscle tend to correspond with positive emotions (happiness, surprise), and the corrigator supercilii muscle tends to correspond with negative emotions (anger, fear, disgust). Researchers use this EMG data for a variety of studies involving visual, auditory and haptic stimuli, startle and response, unconscious learning, emotional response and more.
BIOPAC CEO Frazer Findlay discusses and demonstrates how to record great Facial EMG (fEMG). Learn how to set up a Facial EMG study, where to place the electrodes, and best practices for recording signals on the muscles tied to our emotions.
In this fNIRS training, you will see a typical analysis workflow for fNIRS data in experiments featuring both event-based and continuous stimulation. Learn about a powerful yet easy-to-use software package with both a graphical user interface and scripting capability (for automation).
What You Will Learn: • Preparing data for analysis • Signal conditioning, noise removal, and managing artifacts • Best practices for visualizing recorded data • Block analysis using event markers and/or time • Further temporal and spatial processing of data, including cell-by-cell processing • Automation of analysis procedures • Performing common statistical comparisons (t-test, ANOVA) • Spatial visualization LIVE Webinar Aug 25th 8am PT/11am ET
Researchers 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 […]