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S05 EEG 1 Brain Rhythms

EEG 1 introduces electroencephalographic recording techniques. Students record EEG from the occipital lobe while performing a number of different tasks to demonstrate how the brains electrical activity varies depending on the task. The software filters the raw EEG signal to separate and display alpha, beta, delta, and theta rhythms.

Experimental Objectives

  1. To record an EEG from an awake, resting subject with eyes open and eyes closed.
  2. To identify and examine alpha, beta, delta, and theta components of the EEG complex
  3. To compare differences between male and female students.

Tasks Performed by the Student

Videos

Biopac Student Lab Student Download

Student Prep & Distance Learning

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.

Lesson Hardware

This lesson requires a Biopac Science Lab (MP40) System and the following hardware. If your BScL System does not include all hardware items, expand your system by selecting required items below.

ItemNameCart
SCILAB-IBiopac Science Lab Intro. SystemAdd to Cart
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free BIOPAC webinar

Dyadic Interactions Involving Parents, Children, Couples, and More | Recording from Multiple Participants Part I

Synchronizing Data from Multiple Participants
Performing a dyadic experiment takes more planning than single-participant studies. Data must be tightly synchronized, equipment must remain inobtrusive, and the experimental paradigm drives the optimal setup. Join us to learn how to record high-quality synchronized data for a wide range of applications.

What You Will Learn:
– How to synchronize data from two participants
– Recording options: ECG, EDA, EEG, fNIRS, Video
– Collaborative virtual environments
– Data analysis techniques
– Practical tips—and advice on working with children
– New ideas about your research

Live Webinar: May 20th at 8AM PT/11AM ET

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