https://github.com/younghoonNa/MC2SleepNet
공식 코드MC2SleepNet: Multi-modal Cross-masking with Contrastive Learning for Sleep Stage Classification
Papers with Code 아카이브
Electroencephalogram (EEG)
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Electroencephalogram (EEG) is a method of recording brain activity using electrophysiological indexes. When the brain is active, a large number of postsynaptic potentials generated synchronously by neurons are formed after summation. It records the changes of electric waves during brain activity and is the overall reflection of the electrophysiological activities of brain nerve cells on the surface of cerebral cortex or scalp. Brain waves originate from the postsynaptic potential of the apical dendrites of pyramidal cells. The formation of synchronous rhythm of EEG is also related to the activity of nonspecific projection system of cortex and thalamus. EEG is the basic theoretical research of brain science. EEG monitoring is widely used in its clinical application.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/yudongpan/tegan
공식 코드Short-length SSVEP data extension by a novel generative adversarial networks based framework
https://github.com/ywa136/syglasso
공식 코드https://github.com/zes0v0inn/dwt_eeg_reconstruction
공식 코드Category-aware EEG image generation based on wavelet transform and contrast semantic loss
https://github.com/zhongpeixiang/RGNN
공식 코드EEG-Based Emotion Recognition Using Regularized Graph Neural Networks
https://github.com/zhuyixuan1997/eegscopeandarbitration
공식 코드Scope and Arbitration in Machine Learning Clinical EEG Classification
https://github.com/zitonglu1996/eeg2eeg
공식 코드Generate your neural signals from mine: individual-to-individual EEG converters
https://github.com/ziyuey/cssstn
공식 코드https://github.com/ztony0712/MCA
공식 코드Feature Fusion Based on Mutual-Cross-Attention Mechanism for EEG Emotion Recognition
https://gitlab.com/lucentia/refining-adhd-diagnosis-with-eeg-preprocesing-and-temporal-segmentation
공식 코드https://github.com/1hb6s7t/SGDR-ms
https://github.com/ADMoreau/EEG-Research
Deep learning with convolutional neural networks for EEG decoding and visualization
https://github.com/Aadhvin02/https-github.com-meagmohit-EEG-Datasets
Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks
https://github.com/AbhayKoushik/RealTimeSleepStaging
Real-Time Sleep Staging using Deep Learning on a Smartphone for a Wearable EEG
https://github.com/AliAbyaneh/Extracting-Image-from-EEG-signals
Deep Learning Human Mind for Automated Visual Classification
https://github.com/Amir-Hofo/EEGNet
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces
https://github.com/Amir-Hofo/EEGNet_Pytorch
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces
https://github.com/AryaKoureshi/Magnocellular-Parvocellular-Coactivation-Task-in-MATLAB
Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis
https://github.com/CVxTz/EEG_classification
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
https://github.com/DCalhas/siamese_schizophrenia_eeg
On the use of Pairwise Distance Learning for Brain Signal Classification with Limited Observations
https://github.com/DWonGH/autotuab
Deep learning with convolutional neural networks for decoding and visualization of EEG pathology
https://github.com/DataSlingers/MoMA
https://github.com/DeepakRaya/Cognitive_classification_RNN_EEG_images
Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks
https://github.com/Dekakhrone/EEGNet
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces
https://github.com/Dreem-Organization/dosed
A deep learning architecture to detect events in EEG signals during sleep
https://github.com/Gjiangtao/A-Deep-Supervised-Edge-Optimization-Algorithm-for-Salt-Body-Segmentation
https://github.com/Gpanayu/EmoRecogKeras
Spatiotemporal Emotion Recognition using Deep CNN Based on EEG during Music Listening
https://github.com/Harshvardhan1/cyclic-learning-schedulers-pytorch
https://github.com/HelloDuoLA/SGDR-Stochastic-Gradient-Descent-with-Warm-Restarts
https://github.com/IBM/seizure-type-classification-tuh
Seizure Type Classification using EEG signals and Machine Learning: Setting a benchmark
https://github.com/Ildaron/EEGwithRaspberryPI
Brain-Computer-Interface controlled robot via RaspberryPi and PiEEG
https://github.com/JiajZhu/EEGnet_Pytorch
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces
https://github.com/Jmak12/Iris1
https://github.com/JuliaCarosi/registros
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging
https://github.com/Kanyooo/EEG-DCNet
EEG-DCNet: A Fast and Accurate MI-EEG Dilated CNN Classification Method
https://github.com/LIKANblk/AML_EEG_challenge
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.