BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
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Nov 10, 2026 - C++
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BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
python signal-processing neuroscience eeg openbci ecg muse emg bci biosensors brain-computer-interface biosignals eeg-analysis brain-control brain-machine-interface emg-signal biosensor brainflow
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
deep-learning tensorflow keras eeg convolutional-neural-networks brain-computer-interface event-related-potentials time-series-classification eeg-classification sensory-motor-rhythm
Mother of All BCI Benchmarks
Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python
python machine-learning statistics time-series signal-processing image-processing eeg remote-sensing brain-computer-interface covariance-matrix positive-definite-matrices covariance-estimation riemannian-geometry radar-image symmetric-matrices hermitian-matrices
CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification
cnn transformer attention bci brain-computer-interface eeg-analysis motor-imagery eeg-classification ctnet eeg-transformer mi-eeg eeg-decoding mi-eeg-classification conv-transformer
[Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.org/pdf/1611.08024.pdf
pytorch convolutional-neural-networks bci speller brain-computer-interface p300 eeg-analysis eeg-classification eegnet
Muse 2016 EEG Headset JavaScript Library (using Web Bluetooth)
eeg typescript-library web-bluetooth eeg-data bci brain-computer-interface eeg-headband eeg-headset brain-connectivity
EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow
python tensorflow matlab eeg eeg-signals esi tensorflow-experiments convolutional-neural-networks eeg-data brain-computer-interface motor-imagery-classification tensorflow-models motor-imagery-training cnns eeg-analysis motor-imagery eeg-classification brain-com motor-imagery-tasks
code for AAAI2022 paper "Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification"
language sentiment-analysis bart eeg-signals language-model brain-computer-interface bert eeg-classification
The programming interface for your body and mind
signal-processing eda eeg ecg emg bci biosensors brain-computer-interface ppg biosignals gsr brain-control brain-machine-interface bci-speller timeflux
A new approach based on a 10-layer one-dimensional convolution neural network (1D-CNN) to classify five brain states (four MI classes plus a 'baseline' class) using a data augmentation algorithm and a limited number of EEG channels. Paper: https://doi.org/10.1088/1741-2552/ac4430
Low Cost Electroencephalogram Based Brain-Computer-Interface
eeg ecg electroencephalography emg bci brain-computer-interface nucleo eog electroencephalogram bioamplifier
Python Brain-Computer Interface Software
Must-read papers on machine learning, deep learning, reinforcement learning and other learning methods for brain-computer interfaces.
machine-learning awesome deep-neural-networks reinforcement-learning deep-learning robotics deep-reinforcement-learning awesome-list bci neural brain-computer-interface awesome-lists bci-systems awesome-readme neural-interfaces
Implementation of ConvLSTM in pytorch applied for BCI (Brain Machine Interface) following paper: Convolutional LSTM Network-A Machine Learning Approach for Precipitation Nowcasting
A wheelchair controlled by EEG brain signals and enhanced with assisted driving
A MATLAB package for modelling multivariate stimulus-response data
ridge-regression bci system-identification brain-computer-interface bmi trf brain-machine-interface neural-decoding stimulus-response-correlation temporal-response-function strf neural-interface
End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)
machine-learning deep-learning dml eeg ae autoencoder bci brain-computer-interface deep-metric-learning multi-task-learning eeg-classification
Transformer-based fNIRS Classification. Paper: Transformer Model for Functional Near-Infrared Spectroscopy Classification
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