common-spatial-pattern

i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG, ECG, etc. ii. Including the attention of spatial dimension (channel attention) and *temporal dimension*. iii. Common spatial pattern (CSP), an efficient feature enhancement method, realized with Python.

Implementation of filter bank common spatial pattern (FBCSP) for MI-based BCI in python

A Julia package for advanced Matrix Diagonalization algorithms (PCA, Whitening, MCA, gMCA, CCA, gCCA, CSP, CSTP, AJD, mAJD)

Senior Design Project at UH

Implements High-Gamma dataset decoding using Filter Bank Common Spatial Pattern with rLDA classification and Neural Networks.

Implementing Common Spatial Pattern (CSP) algorithm for MI-BCI from scratch with python

A MATLAB toolbox for classification of motor imagery tasks in EEG-based BCI system with CSP, FB-CSP and BSSFO

EEG signal processing and classification for detecting sleep spindles and classifying motor imagery tasks using Python.

Yet another machine learning notebook

A Brain-Computer Interface (BCI) application for classifying motor imagery EEG signals (using PhysioNet & BCI Competition IV-2a) with FBCSP, wavelet feature extraction, and custom LDA/eigen-decomposition from scratch.

process large dimension data, and create a man-machine interface

This repository provides the computational approach for generating the results in the manuscript: 'Vocal Imagery vs Intention: Viability of Vocal-Based EEG-BCI Paradigms'

Maxim Entropy based Common Spatial Pattern

From-scratch Python implementations of Common Spatial Pattern (CSP) and Common Spatio-Spectral Pattern (CSSP) for EEG-based motor imagery brain-computer interfaces (MI-BCI), tested on BCI Competition III Dataset IVa.