Feelings and emotions are at the core of how the human mind processes and responds to stimuli. Despite this connection, measuring human emotional response to stimuli in a meaningful way has presented a challenge to researchers for centuries. Today’s researchers use affect, a multi-dimensional approach to measuring psychophysiological responses to stimuli, to better understand the nature of human feelings, moods, emotions.
Join us to learn how you can objectively measure emotional responses via physiological measures.
Examples using multiple signals including facial EMG, EDA, temperature, blood pressure, and fNIRS
Quantifying the valence (positive vs. negative) of emotions and the degree of arousal
Accessing real-time data for biofeedback or for applications in online emotional state classification
Combining subjective and objective measures on a single timeline
Learn about a wide array of existing techniques and tools so you can make an informed decision about what measures to use in your study protocol.
Alex Dimov (BIOPAC Systems, Inc.) has been teaching workshops on the topic of physiological data acquisition and analysis for over 15 years. While at UC Santa Barbara he was an instructor for The Advanced Training Institute for Virtual Reality in Social Psychology. He joined BIOPAC as an application specialist and now oversees European Sales for BIOPAC.
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
Live Webinar Thursday, July 14th 8:00 a.m. PT / 11:00 a.m. ET
BIOPAC provides researchers with a complete range of tools to gather data on heart rate variability (HRV). The following studies demonstrate just some of the ways in which HRV research benefits from the implementation of BIOPAC hardware and software solutions. PTSD and HRV Post-traumatic stress disorder (PTSD) has been associated with dysfunction of the autonomic […]
BIOPAC’s comprehensive Introductory ECG Guide addresses fundamental to advanced concerns to optimize electrocardiography data recording and analysis. Topics include: ECG Complex; Electrical and Mechanical Sequence of a Heartbeat; Systole and Diastole; Configurations for Lead I, Lead II, Lead III, 6-lead ECG, 12-lead ECG, precordial leads; Ventricular Late Potentials (VLPs); ECG Measurement Tools; Automated Analysis Routines for extracting, […]