https://github.com/k-forghani/blood-pressure-estimation
Blood Pressure Estimation using PPG Signal and Demographic Features
https://github.com/k-forghani/blood-pressure-estimation
blood-pressure-estimation demographics-data ppg-signal pycaret tensorflow time-series
Last synced: about 1 year ago
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Blood Pressure Estimation using PPG Signal and Demographic Features
- Host: GitHub
- URL: https://github.com/k-forghani/blood-pressure-estimation
- Owner: k-forghani
- License: mit
- Created: 2024-06-12T19:28:32.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-08-25T13:48:46.000Z (almost 2 years ago)
- Last Synced: 2025-06-20T14:11:41.725Z (about 1 year ago)
- Topics: blood-pressure-estimation, demographics-data, ppg-signal, pycaret, tensorflow, time-series
- Language: Jupyter Notebook
- Homepage:
- Size: 41.3 MB
- Stars: 4
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Blood Pressure Estimation
## Introduction
A playground on estimating blood pressure based on PPG signals associated with demographic data obtained from hundereds of cases.
## Setup
Set up the environment.
```shell
python3 -m venv env
source env/bin/activate
pip install --upgrade pip
pip install -r requirements.txt
```
On Ubuntu operating system, just run `setup.sh`, and then you can launch *JupyterLab*
```bash
jupyter lab
```
to explore the project.
**Note**: If you have installed new dependencies, please freeze them into `requirements.txt` for future use:
```shell
pip3 freeze > requirements.txt
```
## Requirements
```
pip3 install numpy pandas openpyxl tqdm matplotlib jupyterlab scipy pyampd mrmr_selection mat73 tensorflow pydot scikit-learn sklearn_relief seaborn pycaret[analysis]
```
## License
This project has been released under *MIT License*.