#Bci-systems

pieeg-club

EEGwithRaspberryPI

Not supported. Measure 8 EEG channels with Shield PiEEG and RaspberryPi in C library

amrzhd

EEG-MSCNN

This project explores the impact of Multi-Scale CNNs on the classification of EEG signals in Brain-Computer Interface (BCI) systems. By comparing the performance of two models, EEGNet and MSTANN, the study demonstrates how richer temporal feature extractions can enhance CNN models in classifying EEG signals