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L14 Biofeedback

Biopac Student Lab Biofeedback

This lesson demonstrates the principles of biofeedback training for relaxation purposes. The student will record and view ECG, heart rate, and electrodermal activity (EDA). Subjects control the position of a vertical bar graph by influencing their heart rate and EDA. As heart rate increases, the bar moves up; if the heart beats slower, the bar moves down. A separate bar moves up as EDA increases and down as EDA decreases.

Experimental Objectives

  1. Introduce the concept of biofeedback training for relaxation.

  2. Measure levels of arousal via heart rate and electrodermal activity.

Tasks Performed by the Student

BSL Lessons are designed to allow at least four students to record and save data in a normal lab period (60-90 minutes). Typically, labs work most efficiently with three or more students working together at each BSL station.

Videos

BSL L14 Calibration

Biopac Student Lab Student Download

Lesson Hardware

This lesson requires a Biopac Student Lab (BSL) System and the following hardware. If your BSL System does not include all hardware items, expand your system by selecting required items below. For more details, review the Lesson: L# BSL Lessons - see the Lab Manual or launch BSL; A# and H# BSL PRO Lessons, click the PDF link above to review full setup, recording, and analysis procedures.

ItemNameCart
SS2LBLead set, shielded, BSLAdd to Cart
Select OptionEDA Lead SetAdd to Cart
EL507Disp. EDA Electrode 100/pkAdd to Cart
GEL1Electrode gel 50 gAdd to Cart
ELPADAbrasive Pads 10/pkAdd to Cart
EL503Disp. Gen-purp electrode 100/pkAdd to Cart
GEL101Electrode Gel, Isotonic, 114 gAdd to Cart
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fNIRS for Mental Workload Assessment

Are you interested in getting started with fNIRS?

fNIRS is growing in popularity as a tool for studying human cognition including workload, memory, learning, attention and more. It is simpler than ever to incorporate into your experiments.

You will learn how to:
– Operate fNIRS equipment
– Record high quality data
– Perform an experiment
– Analyze data
– Synchronize with other physiological signals
– Synchronize with stimulus presentation

Live Webinar Mar. 18th 8AM PT / 11AM ET

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