MatLab CNN classification model for P300 event detection in Autism for VR/ AR headsets.
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Updated
Sep 19, 2023 - MATLAB
MatLab CNN classification model for P300 event detection in Autism for VR/ AR headsets.
this is a simple artificial neural network that used to classify P300 without using any libraries
Orthogonal matching pursuit-based feature selection for motor-imagery EEG signal
Detect emotion by labelled music. Then run RNN to generate similar music based on labelled music.
Assess ICA-denoising impact on the analysis of the event related potential P300, for an Autism Spectrum Disorder BCI dataset. Reject different numbers of Independent Components and compare them to common noise sources of EEG acquisitions.
Classic BCI Algorithms implementation in MALTAB
This is homework for Brain Computer Interface course
Implementation of Correlation function and signal averaging method for detecting P300.
Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces (MEKT)
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