Principles of brain computer interface

• describe the EEG signals that can be detected as markers of mental activity.
• describe different BCI systems and neural prostheses.
• apply signal processing techniques to condition the EEG signals.
• develop methods for extracting relevant features.
• implement classification algorithms to classify these signals.
• build a functioning BCI system.
• review and present selected scientific articles.
• discuss the developments and the future of this field.

Brain-Computer Interface based on different types of EEGs will be covered in the form of lectures, discussions, practical and theoretical learning methods. The students will be asked to present a scientific article. A BCI design group project (group of 2) using the available BCI data or new data will be completed with a final report and a presentation.

31561/22052/31545/22485/31560/22055

Lectures
Exercises
Student presentation of scientific articles
Group project work

Minimum: 10.

Please be aware that this course will only be held if the required minimum number of participants is met. You will be informed 8 days before the start of the course, whether the course will be held.