Goomenny / WESAD_ECG_SSL
This repository contains scripts and data for Emotion Recognition based on Self-Supervised Learning from ECG signals
☆12Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for WESAD_ECG_SSL
- Reimplementation of the paper Sarkar and Etemad 2020 "Self-Supervised ECG Representation Learning for Emotion Recognition"☆26Updated 3 years ago
- It is an emotion detection with EEG and ECG signals.☆36Updated 4 years ago
- Obstructive Sleep Apnea, OSA, CNN, ECG signal, LeNet5☆52Updated 3 years ago
- A COMPREHENSIVE ANALYSIS OF SLEEP APNEA☆43Updated 2 years ago
- Multi-module Recurrent Convolutional Neural Network with Transformer Encoder for ECG Arrhythmia Classification☆97Updated 3 years ago
- Robust End-to-End Emotion Recognition from ECG using Transformers (2nd Place Winner in EPiC 2023)☆15Updated last year
- This project includes preprocessing of APNEA-ECG database and a LSTM-RNN model for per-segment OSA detection.☆57Updated 11 months ago
- Convolutional neural network which uses 30 second single-channel EEG signals to detect apnea events. Kernels are visualised using Fourier…☆19Updated last year
- [IEEE JBHI] "MultiChannelSleepNet: A Transformer-Based Model for Automatic Sleep Stage Classification With PSG"☆38Updated last year
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆48Updated 2 years ago
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG☆25Updated 3 years ago
- Official PyTorch repository for Hypercomplex Multimodal Emotion Recognition from EEG and Peripheral Physiological Signals, ICASSPW 2023.☆41Updated 8 months ago
- 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
- Under Review☆15Updated last year
- ☆16Updated 2 months ago
- A Residual based Attention Model for EEG basedSleep Staging☆11Updated 3 years ago
- Emotion Recogniton LSTM RNN Arousal Valence☆40Updated last year
- Statistical comparison study of valence-arousal classifiers from EEG signals on DEAP and MANHOB datasets☆12Updated 2 years ago
- Self-supervised ECG Representation Learning - ICASSP 2020 and IEEE T-AFFC☆33Updated 2 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆54Updated last year
- Toward Sleep Apnea Detection with Lightweight Multi-scaled Fusion Network☆33Updated 2 months ago
- Multi-modal Physiological Signals based Squeeze-and-Excitation Network with Domain Adversarial Learning for Sleep Staging☆14Updated last year
- MVMTnet - Multi-variate Multi-modal Transformer network implementation for multi-class classification of Cardiac abnormalities using clin…☆16Updated last year
- 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
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆61Updated 3 years ago
- ☆30Updated 3 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
- The project uses EEG signals from the DEAP Dataset to classify emotions into 4 classes using Ensembled 1-D CNNs, LSTMs and 2D , 3D CNNs a…☆44Updated last year
- This model replaces the original CompactCNN with a Transformer model. It is designed to classify 1D EEG signals for the purpose of dr…☆10Updated last year
- SleepPrintNet: A Multivariate Multimodal Neural Network based on Physiological Time-series for Automatic Sleep Staging☆27Updated 5 months ago