quwei913 / A-Residual-based-Attention-Model-for-EEG-basedSleep-Staging
A Residual based Attention Model for EEG basedSleep Staging
☆12Updated 3 years ago
Alternatives and similar repositories for A-Residual-based-Attention-Model-for-EEG-basedSleep-Staging:
Users that are interested in A-Residual-based-Attention-Model-for-EEG-basedSleep-Staging are comparing it to the libraries listed below
- 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）☆30Updated 2 years ago
- [IEEE JBHI] "MultiChannelSleepNet: A Transformer-Based Model for Automatic Sleep Stage Classification With PSG"☆45Updated last year
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG☆29Updated 3 years ago
- Multi-modal Physiological Signals based Squeeze-and-Excitation Network with Domain Adversarial Learning for Sleep Staging☆16Updated last month
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆47Updated 2 years ago
- SleepPrintNet: A Multivariate Multimodal Neural Network based on Physiological Time-series for Automatic Sleep Staging☆30Updated 10 months ago
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆17Updated 3 years ago
- ☆18Updated 2 years ago
- A list of papers for sleep stages classification using machine learning/deep learning.☆80Updated 2 years ago
- Convolutional neural network which uses 30 second single-channel EEG signals to detect apnea events. Kernels are visualised using Fourier…☆22Updated last year
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆31Updated last year
- This is a community implementation of EEG-ConvTransformer☆18Updated last year
- ☆16Updated 3 months ago
- code for LMDA☆74Updated last year
- The codes that I implemented during my B.Sc. project.☆22Updated 3 years ago
- Analysis of Transformer attention in EEG signal classification☆43Updated 6 months ago
- This model replaces the original CompactCNN with a Transformer model. It is designed to classify 1D EEG signals for the purpose of dr…☆11Updated last year
- Anomaly prediction using brain signals with Fourier transformed features and SVM classifier.☆16Updated 2 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆66Updated 4 years ago
- ☆24Updated last year
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆10Updated 3 years ago
- [Arxiv] NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG☆50Updated last month
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆12Updated last year
- ☆20Updated 3 months ago
- The final project for ECE C147/C247, which evaluates the performance of CNN + Transformer and CNN + GRU + SimpleRNN models on an EEG data…☆12Updated last year
- ☆16Updated last year
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆27Updated 5 months ago
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 4 years ago
- Emotion recognition base on EEG.☆16Updated last year