nerajbobra / lstm-cnn-eeg-sleep-staging
2-Channel EEG Sleep Staging Algorithm using CNN-LSTM Architecture
☆14Updated 4 years ago
Alternatives and similar repositories for lstm-cnn-eeg-sleep-staging:
Users that are interested in lstm-cnn-eeg-sleep-staging are comparing it to the libraries listed below
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG☆29Updated 3 years ago
- A Residual based Attention Model for EEG basedSleep Staging☆11Updated 3 years ago
- [IEEE JBHI] "MultiChannelSleepNet: A Transformer-Based Model for Automatic Sleep Stage Classification With PSG"☆48Updated last year
- Code for the paper "A Convolutional neural network for sleep stage scoring from raw single-channel EEG"☆59Updated 7 years ago
- SleepPrintNet: A Multivariate Multimodal Neural Network based on Physiological Time-series for Automatic Sleep Staging☆33Updated 11 months ago
- Project to predict sleep stages based on EEG, ECG, EOG data. Signals are filtered using different methods (Wavelet, Butterworth). The pre…☆11Updated 2 years ago
- 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）☆31Updated 2 years ago
- A list of papers for sleep stages classification using machine learning/deep learning.☆83Updated 2 years ago
- Convolutional neural network which uses 30 second single-channel EEG signals to detect apnea events. Kernels are visualised using Fourier…☆21Updated 2 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆32Updated last year
- Emotion Recognition Transformer Network Based EEG Signals.☆19Updated last year
- A Graph Convolutional Network Approach for Depression Detection using EEG based Brain Networks☆20Updated 4 years ago
- Multi-modal Physiological Signals based Squeeze-and-Excitation Network with Domain Adversarial Learning for Sleep Staging☆18Updated 3 months ago
- Anomaly prediction using brain signals with Fourier transformed features and SVM classifier.☆17Updated 2 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆42Updated 5 months ago
- ☆29Updated 3 years ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆47Updated 2 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆55Updated 4 years 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 2 years ago
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆53Updated last year
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆73Updated 3 years ago
- An EEG dichotomy program file , using CSP and SVM.☆23Updated 4 years ago
- code for LMDA☆79Updated last year
- EEG motor imagery classification using convolutional neural networks☆35Updated 2 years ago
- The codes that I implemented during my B.Sc. project.☆22Updated 3 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆13Updated last year
- ☆11Updated 5 years ago
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 4 years ago
- Pytorch implementation of EEGNet.☆45Updated 2 years ago
- ☆36Updated 6 years ago