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This course explores an exciting field of neuroengineering, brain computer interfaces (BCI), in a hands-on laboratory setting. The course addresses both the human and computational elements of the technology emphasizing an engineering perspective while utilizing and modifying common paradigms in electroencephalogram (EEG)-based BCIs such as motor imagery and the P300 speller. Students are expected to understand the EEG signal and develop good recording techniques to assess and modify data collection and processing in real time. This course will also discuss how the techniques and algorithms addressed in this class translate to other modalities such as fNIR as well as more invasive systems. This course includes a lecture and laboratory component.

College/Department: School of Biomedical Engineering, Science Health Systems
Repeat Status: Not repeatable for credit