https://github.com/thomasmbury/ecg-dashboard

Tutorial for building a dashboard with Plotly Dash to stream ECG data from Physionet
https://github.com/thomasmbury/ecg-dashboard

big-data cardiology dash dashboard ecg exploratory-data-analysis physiology plotly-dash python

Last synced: about 1 month ago
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Tutorial for building a dashboard with Plotly Dash to stream ECG data from Physionet

• Host: GitHub
• URL: https://github.com/thomasmbury/ecg-dashboard
• Owner: ThomasMBury
• Created: 2022-05-01T14:06:14.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-09-02T18:23:43.000Z (over 2 years ago)
• Last Synced: 2024-10-12T15:51:13.448Z (2 months ago)
• Topics: big-data, cardiology, dash, dashboard, ecg, exploratory-data-analysis, physiology, plotly-dash, python
• Language: Python
• Homepage:
• Size: 2.67 MB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Building a dashboard in Plotly Dash

Generate an interactive dashboard to explore ECG data from the [Icentia11k](https://physionet.org/content/icentia11k-continuous-ecg/1.0/) database on Physionet. It accompanies this [Medium article](https://medium.com/p/c748588e2920/edit). The app is currently hosted on Heroku [here](https://ecg-dashboard-medium.herokuapp.com/).

## Running the app locally

To run the app on your local computer, clone the repository, create a virtual environment and install the necessary requirements with

```

pip install --upgrade pip

pip install -r requirements.txt

```

Then run the app with

```

python app.py

```

This should show

```

Dash is running on http://127.0.0.1:8050/

```

You can now visit the app at this URL. 

## Medium files

To follow along with the Medium article, there are several versions of the app at different stages of completion in the [medium](./medium) directory. These can be run with e.g.

```

cd medium

python app_v1.py

```

## Usage

Feel free to use and extend this template for your own use. If you find it useful, please consider 'clapping' the [Medium article](https://medium.com/p/c748588e2920/edit) and starring this repository. Thank you!

## Preview



## References

Tan, S., Ortiz-Gagné, S., Beaudoin-Gagnon, N., Fecteau, P., Courville, A., Bengio, Y., & Cohen, J. P. (2022). Icentia11k Single Lead Continuous Raw Electrocardiogram Dataset (version 1.0). PhysioNet. https://doi.org/10.13026/kk0v-r952.

Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., ... & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220.