Generate an interactive dashboard to explore ECG data from the Icentia11k database on Physionet. It accompanies this Medium article. The app is currently hosted on Heroku here.

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.

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

cd medium
python app_v1.py

Feel free to use and extend this template for your own use. If you find it useful, please consider 'clapping' the Medium article and starring this repository. Thank you!

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.