eeg-classification

Here are 208 public repositories matching this topic...

vlawhern / arl-eegmodels

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

Updated May 2, 2022
Python

SuperBruceJia / EEG-DL

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A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Updated Jan 19, 2023
Python

pieeg-club / ironbci

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

stm32 eeg eeg-signals eeg-data bci eeg-headset bci-systems eeg-classification eeg-signals-processing ads1299 bci-homework ironbci

Updated Nov 21, 2024
Python

aliasvishnu / EEGNet

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[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

Updated Jul 10, 2019
Jupyter Notebook

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.

deep-learning eeg transformer attention vit attention-mechanism physiological-signals common-spatial-pattern eeg-classification

Updated Mar 23, 2023
Python

SuperBruceJia / EEG-Motor-Imagery-Classification-CNNs-TensorFlow

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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

Updated May 20, 2024
Python

emadeldeen24 / AttnSleep

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[TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"

pytorch eeg attention eeg-classification sleep-staging self-attention sleep-stage-scoring sleep-stage-classification

Updated Sep 26, 2023
Python

MikeWangWZHL / EEG-To-Text

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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

Updated Jun 30, 2024
Python

neerajwagh / eeg-gcnn

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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.

machine-learning deep-learning pytorch eeg eeg-signals eeg-classification eeg-signals-processing graph-neural-networks neurips convolutional-network neurips-2020 eeg-gcnn ml4h dgl-graph

Updated Oct 8, 2022
Python

zwcolin / EEG-Transformer

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A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification

transformer vit bci eeg-classification

Updated Oct 10, 2022
Python

Piyush-Bhardwaj / EEG-based-emotion-analysis-using-DEAP-dataset-for-Supervised-Machine-Learning

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This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machine learning algorithms such as Support vector machine and K - Nearest Neighbor.

machine-learning supervised-learning svm-classifier knn-classification eeg-classification deap-dataset