Master's thesis presentation. Hassaan is advised by Dr. Zahra Monfared, and Prof. Dr. Felix Dietrich.
Previous talks at the SCCS Colloquium
Hassaan Wasim: EEG Data Classification
SCCS Colloquium |
This thesis explores the application of EEG in brain-computer interface (BCI) systems, focusing on the analysis of time series data from the PhysioNet EEG Motor Movement/Imagery Dataset. We examine key characteristics of EEG signals, preprocessing techniques, and feature extraction methods essential for decoding brain activity. Statistical approaches and frequency band analysis are employed to highlight neural patterns associated with motor imagery.