EEG-Based Movement Imagery Classification Using Machine Learning Techniques and Welch’s Power Spectral Density Estimation

Saman Sarraf


This project implements an EEG-based movement imagery classification using Welch’s Power Spectral Density estimation which could be used in Brain Computer Interface systems.  This classification which is based on the extracted features from


EEG; Machine Learning; Movement Imagery.

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