BME 4150
Brain Computer Interface
Saint Louis University · UGRD · Fall 2026
Catalog description
This course introduces fundamental and advanced technologies in constructing prosthetic devices controlled by brain signals noninvasively. The topics will include the major BCI components, Electroencephalography (EEG) signal properties, acquisition and processing, the common research platform BCI2000, eye-movement tracking glasses, basic machine learning, classical and award-winning BCI research projects, etc. Students will gain a broad knowledge of the BCI research and its applications. The will learn the basics of brain-signal acquisition and processing. They will learn the four modules included in a typical BCI system. They will be able to work with a single-channel EEG system to measure brain signals and build complete applications on top of it.
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