ceresOPA / Automatic-Sleep-Staging-Based-on-EEG-Signal-using-Deep-Network
基于单通道脑电信号的自动睡眠分期研究（Automatic Sleep Staging Based on EEG Signal using Deep Network）
☆24Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Automatic-Sleep-Staging-Based-on-EEG-Signal-using-Deep-Network
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG☆25Updated 3 years ago
- A Residual based Attention Model for EEG basedSleep Staging☆11Updated 3 years ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆48Updated 2 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆26Updated last year
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆18Updated 3 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆62Updated 3 years ago
- 运动想象分类模型---ATCNet，源代码融合了关于EEGNet,DeepConvNet,ShallowConvNet等多种典型模型作对比☆23Updated last year
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆58Updated 3 months ago
- 在 SEED 数据集上做 EEG 情绪识别☆99Updated 4 years ago
- BCI Competition IV dataset 2a☆26Updated 5 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆60Updated 3 years ago
- ☆35Updated 5 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆81Updated 2 years ago
- ☆41Updated 2 years ago
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 4 years ago
- The codes that I implemented during my B.Sc. project.☆21Updated 2 years ago
- An EEG dichotomy program file , using CSP and SVM.☆21Updated 4 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆120Updated 11 months ago
- A CNN + LSTM architecture to predict seizure from EEG data☆43Updated last year
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆50Updated 3 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆58Updated 2 years ago
- [IEEE JBHI] "MultiChannelSleepNet: A Transformer-Based Model for Automatic Sleep Stage Classification With PSG"☆39Updated last year
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆89Updated last year
- A list of papers for sleep stages classification using machine learning/deep learning.☆71Updated 2 years ago
- Feature extraction for EEG signals☆27Updated 4 years ago
- Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.☆73Updated 4 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆11Updated last year
- EEG Motor Imagery Classification Using CNN, Transformer, and MLP☆20Updated 8 months ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆34Updated 5 years ago
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆49Updated last year