realmichaelye / Stress-Prediction-Using-HRV
Using the SWELL dataset from Kaggle, we've built 2 machine learning models to predict whether or not a person is under stress using Heart Rate Variability(HRV) which can be collected from modern wearables such as fitbit devices and apple watches.
☆62Updated 5 years ago
Alternatives and similar repositories for Stress-Prediction-Using-HRV:
Users that are interested in Stress-Prediction-Using-HRV are comparing it to the libraries listed below
- This project aims to detect stress state based on Electrocardiogram signals (WESAD Dataset) analysis with a deep learning model.☆50Updated 2 years ago
- Are you ready to FLIRT with your wearable data?☆72Updated last year
- Pre-processing methods for mHealth and wearables data.☆20Updated last year
- ☆43Updated 7 years ago
- Diploma thesis analyzing emotion recognition in conversations exploiting physiological signals (ECG, HRV, GSR, TEMP) and an Attention-bas…☆26Updated 2 years ago
- Classification of sleep stages using accelerometer data☆48Updated 2 years ago
- Algorithms to estimate respiratory rate from physiological signals☆179Updated last year
- Stress classifier with AutoML☆53Updated 5 years ago
- Extraction of ECG data features (hrv) using python☆32Updated 2 years ago
- Mental stress has become a standard part of day-to-day life. However, experiencing long-term and high-level stress affects the daily life…☆13Updated 2 years ago
- Photoplethysmogram-based Real-Time Cognitive Load Assessment Using Multi-Feature Fusion Model☆68Updated last year
- A graphical user interface for feature extraction from heart- and breathing biosignals.☆68Updated 8 months ago
- Obstructive Sleep Apnea, OSA, CNN, ECG signal, LeNet5☆57Updated 3 years ago
- Robust End-to-End Emotion Recognition from ECG using Transformers (2nd Place Winner in EPiC 2023)☆18Updated last year
- Detect sleep apnea using heart rate data from wearable devices☆28Updated 8 months ago
- Sleep stage detection using ECG☆124Updated last week
- A convolutional neural network to detect atrial fibrillation from a single-lead ECG☆113Updated 5 years ago
- 😴 Classifying patient sleep stage (i.e. REM sleep, shallow, etc.) based on Heart Rate Variability data; model is based on time-domain Co…☆20Updated 5 years ago
- ☆50Updated 2 years ago
- Official implementation of the paper: "Deep learning for ECG classification: A comparative study of 1D and 2D representations and multimo…☆28Updated last year
- Notebook used in blogpost "Exploring Heart Rate Variability using Python"☆19Updated 6 years ago
- ☆28Updated 2 years ago
- ☆137Updated last year
- End-to-End PPG Processing Pipeline for Wearables: From Quality Assessment and Motion Artifacts Removal to HR/HRV Feature Extraction☆52Updated last year
- Predicting blood pressure from rPPG signal using LSTMs☆27Updated 3 years ago
- EEG Sleep stage classification using CNN with Keras☆168Updated 10 months ago
- Toolbox for Emotion Analysis using Physiological signals☆57Updated 2 years ago
- PhysioNet Cardiovascular Signal Toolbox☆129Updated last year
- This project includes preprocessing of APNEA-ECG database and a LSTM-RNN model for per-segment OSA detection.☆62Updated last year
- This repository contains scripts and data for Emotion Recognition based on Self-Supervised Learning from ECG signals☆14Updated 4 years ago