Acknowledgements to Dr. David Sherman, UCSB
This BSL PRO Lesson examines the impact of social support on stress. Students will use the BSL System to record and measure electrodermal activity (EDA) and an electrocardiogram (ECG) to calculate heart rate (HR) as physiological correlates to stress. Lesson background explains physiological concepts to help students understand how the autonomic nervous system regulates heart rate and electrodermal activity.
The goal of this lab is to examine the impact of social support on stress. Previous research shows that a photo of a supportive other can reduce pain during a stressful, pain-inducing task (Master, Eisenberger, Taylor, Naliboff, Shirinyan, & Lieberman, 2009). Instead of induced pain, we will examine if social support could reduce physiological responses to a stressful task.
Compatible with Biopac Student Lab System running BSL 4.0.1 or greater with MP36, MP35, MP46, or MP45 unit.
Optional conditions can be added to the recording.
Social Support & Psychophysiology Laboratory Training | UCSB Sherman Lab
EL-CHECK Electrode Impedance Checker
Click the link(s) below for sample data and/or lesson procedure video(s), BSL PRO Lesson procedures (PDF) for human lessons*, and graph template files (*.gtl) for BSL PRO Lessons. If more than one .gtl is available, download the .gtl with the _suffix to match BSL version and hardware.
Compatible with BSL MP36, MP35, MP46 or MP45 running BSL 4.0.1 or greater.
EL-CHECK recommended for 2-channel MP46 or MP45 units; not needed for 4-channel MP36 or MP35 units, which have an 'Electrode Check' port.
Participant must provide a photo of a socially supportive other (e.g., friend, family, pet); photo may be accessed from a mobile device or computer.
Learn a technique—Trans-radial Electrical Bioimpedance Velocimetry (TREV)—that is more user-friendly and less invasive than the transthoracic method. TREV measures blood movement in the radial and ulnar arteries of the forearm via bioimpedance.
Topics Covered:
– Presentation and discussion of TREV
– Derived Indices Relevant to TREV
– Hardware setup
– Participant setup
– Recognizing good quality and bad quality data
– Demonstration with the grip anticipation test
– Review of results from other tests
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