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Biomedical Engineering

The Biopac Student Lab System’s Biomedical Engineering Core Discipline package provides extensive recording and analysis options for signal processing curriculum, including bioelectric and biomechanical studies. The data acquisition unit includes four universal, software-programmable amplifiers that can record biopotential and transducer signals. This BME Core Discipline package provides educators with a complete, flexible teaching system in the form of an integrated system of hardware, software, and curriculum which increases student engagement and provides extensive instructor support–before, during, and after the lab.
“During each [BIOPAC] laboratory exercise, students follow detailed procedures that are designed to demonstrate principles of biophysics and biological measurement. Student feedback on the laboratories has been phenomenal, with the hands-on experiences motivating the students in a way that no lecture-only course can.”  — IEEE Engineering in Medicine and Biology, July/August 2003 (Vol. 22, No. 4, pg. 106)
The Biopac Student Lab Biomedical Engineering Core Discipline hardware/software combination can be tailored for a wide range of measurements with analysis tools for digital filtering, integration, differentiation, FFT, convolution, correlation, and a host of signal processing options. The Breadboard allows students to build and test real circuits and then use the software to compare real results to simulation. Collect, display and investigate data with the BSL System, or use it to direct data to industry-standard applications like MatLab or LabVIEW.
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Suitable for inquiry-based, active learning in 2-yr. and 4-yr. programs, medical schools, and nursing programs. Powerful setup and analysis tools also make the BSL ideal for graduate studies and personal research.

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Multiparticipant or Large Groups | Recording from Multiple Participants Part II

Get targeted solutions specific to the demands of recording data from large groups of people at the same time. Learn about Workflow when recording from multiple participants; Synchronizing all the data; Setting up participants efficiently; Tips and tricks for planning ahead; Using biopotential data, FNIRS, eye tracking, and more; Data monitoring and batch analysis techniques.

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