csp machine-learning-algorithms decoding eeg dwt brain-computer-interface motor-imagery-classification fbcsp
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Apr 13, 2019 - Jupyter Notebook
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fbcsp
Here are 10 public repositories matching this topic...
Python implemementation of the FBCSP algorithm
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Jun 4, 2024 - Python
Project to test the accuracy of multiple algorithms published in articles to the EEG binary motor imagery problem
csp eeg eeg-signals bci brain-computer-interface motor-imagery-classification fractal-dimension motor-imagery eeg-classification fbcsp biomedical-signal-processing scssp subject-independent-bci katz-fractal-dimension mi-bci
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Feb 1, 2020 - Jupyter Notebook
A MATLAB toolbox for classification of motor imagery tasks in EEG-based BCI system with CSP, FB-CSP and BSSFO
csp eeg motor-imagery-classification bci-systems common-spatial-pattern eeg-classification eeg-signals-processing fbcsp
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Sep 19, 2022 - MATLAB
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Sep 12, 2021 - Jupyter Notebook
Local-first, safety-gated BCI/neuroadaptive research platform with public EEG benchmarking, LSL validation, BrainFlow/OpenBCI readiness, and shadow-only inference.
react csp machine-learning eeg openbci mne bci lsl brain-computer-interface fbcsp neurotechnology brainflow neuroadaptive-interfaces
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Jun 1, 2026 - Python
A MATLAB pipeline for classifying FourClass Motor Imagery EEG signals. Implements CSP/FBCSP feature extraction and SVM/CNN/LSTM models, achieving 98.75% accuracy with an optimized Linear SVM. Modular code for preprocessing, feature selection, and classification.
csp machine-learning signal-processing matlab svm neuroscience cnn eeg feature-extraction lstm classification bci brain-computer-interface motor-imagery wavelet-transform fbcsp biomedical-data
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Feb 4, 2026 - MATLAB
Classical EEG motor-imagery benchmark on BCI Competition IV Dataset 2b: CSP, FBCSP, Riemannian, SVM, and Parzen classifiers.
python csp machine-learning eeg bci motor-imagery riemannian-geometry fbcsp neurotechnology bci-competition-iv
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May 25, 2026 - Python
This is a research paper created for BCI. This thesis presents a hybrid EEG-based motor imagery decoder achieving 77.2% accuracy for low-cost non-invasive robotic arm control.
python eeg eeg-signals ensemble-learning bci euclidean-distances motor-imagery euclidean-algorithm riemannian-geometry fbcsp
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Jun 28, 2026 - Jupyter Notebook
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