The Respiratory-Rate-PPG-ECG repository offers methods to estimate respiratory rate using signals from wearable devices, specifically Electrocardiogram (ECG) and Photoplethysmogram (PPG). It includes both signal processing techniques and deep learning models to predict respiratory rates.
- Signal Processing Methods: Techniques to extract respiratory rate from ECG and PPG signals.
- Machine Learning Methods: Include deep learning pre-trained models & other machine learning approaches for respiratory rate estimation.
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Clone the Repository:
git clone https://github.com/Oucru-Innovations/Respiratory-Rate-PPG-ECG.git
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Navigate to the Directory:
cd Respiratory-Rate-PPG-ECG -
Install Dependencies:
pip install -r requirements.txt
This project is licensed under the GNU General Public License v3.0. For more details, refer to the LICENSE.
The information produced by this tool is not intended for direct diagnostic use or medical decision-making without review and oversight by a clinical professional. Individuals should not change their health behavior solely based on information produced by this tool. Oucru does not independently verify the validity or utility of the information produced by this tool. If you have questions about the information produced, please consult a healthcare professional.
For more information and detailed documentation, visit the Respiratory-Rate-PPG-ECG GitHub repository.