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

Wearable (BLE) Brain-Computer Interface, ADS1299 and STM32 with SDK for mobile application

YASA (Yet Another Spindle Algorithm): a Python package to analyze polysomnographic sleep recordings.

EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow

code for AAAI2022 paper "Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification"

Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.

EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.

Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification

Implementation of Domain Specific Denoising Diffusion Probabilistic Models for Brain Dynamics/EEG Signals

Python API for Mentalab biosignal aquisition devices

Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN

JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning

Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI.

This is an official implementation for "Intra- and inter-epoch temporal context network (IITNet) using sub-epoch features for automatic sleep scoring on raw single-channel EEG".

Machine learning for Anonymous detection of an alcoholic by EEG signals

Signal Processing Toolkit, including ML models with visualization

This is an EEG Signals Classification based on Bayesian Convolutional Neural Network (Bayesian CNNs) via Variational Inference.

EEG-DIF: Early Warning of Epileptic Seizures through Generative Diffusion Model-based Multi-channel EEG Signals Forecasting

Real-time EEG BCI signal processing by Python