BSL EEG lesson I is an introduction to electroencephalographic recording techniques. The lesson demonstrates how the brain’s electrical activity varies dependent upon the task being performed. Students record EEG from the occipital lobe while performing a number of different tasks. The software will automatically filter the data to display alpha, beta, delta, and theta wave components. Students will measure and compare the EEG activity associated with various tasks.
To record EEG from an awake, resting subject with their eyes open and eyes closed.
To identify and examine the alpha, beta, delta, and theta components of the EEG complex.
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.
Record EEG from the occipital lobe.
Record EEG from a relaxed subject with their eyes closed, eyes open, and eyes closed again.
Alpha, beta, delta and theta wave components are automatically filtered and displayed.
View the different EEG wave components.
Overlap the EEG wave components for a better view of the data.
The software automates the calibration procedure for the student. There are no knobs and dials to confuse them.
On-screen commands prompt the students throughout the lesson.
BIOPAC’s Simple Sensors warn students if they plug the wrong device or transducer into the system.
The lesson will also work as part of a group study.
BSL Instructor’s Guide provides lab tips and lesson options.
BSL Answer Guide included.
Biopac Student Lab Student Download
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.
Learn how to collect and interpret facial expressions data with facial coding software called FaceReader, and how to synchronize with other biometric response. FaceReader is an emotion reading software that analyzes facial movements to classify subject response. Facial expressions can be classified as happy, sad, scared, disgusted, surprised, angry, contempt, and neutral.
BIOPAC provides software and hardware that allow for research teams to record and analyze respiration activity in physiological experimentation. Here are a few notable studies covering HRV, EMG, and EEG measurement. DON’T STRESS (Jing Wei, Hong Luo, Si J. Wu, Paul P. Zheng, Genyue Fu, and Kang Lee) Humans encounter various stressful situations everyday at work, home, and school. Such stress when experienced at high degrees and/or […]
Alan Macy Answers Proust Questionnaire BIOPAC co-founder and R&D Director, Alan Macy, was interviewed recently by Roger Durling for the Santa Barbara Independent. The article, “The S.B. Questionnaire: Alan Macy,” provided a background excerpt of the Santa Barbara entrepreneurs’ past as well as his answers to the Proust Questionnaire. The biomedical technology developed at BIOPAC reflects an ambitious […]