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 month 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 (7 months ago)
• Default Branch: main
• Last Pushed: 2024-08-25T13:48:46.000Z (4 months ago)
• Last Synced: 2024-08-26T05:44:53.091Z (4 months ago)
• Topics: blood-pressure-estimation, demographics-data, ppg-signal, pycaret, tensorflow, time-series
• Language: Jupyter Notebook
• Homepage:
• Size: 41.3 MB
• Stars: 0
• 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*.