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Covid-19 heart rhythm anomaly ML detector

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CardioSpike

Solution for hackathon «Цифровой прорыв» 2021 track Science&Health for predicting abnormal spikes in RR intervals. Stack: Python, Keras, PyTorch; React, SQL, Django, GCP; Figma, React Native.

Software:

1. Script prediction in command line (example input file: data/test.csv):

python cardioSpike.py data/test.csv data/output/ --pics

2. The implementation of models UNet and CRNN look at RR.ipynb

Screen casts of their usege you can watch there. The solution presentation is here

For questions and offers you can contact Dmitry Pustoshilov: pustoshilov.dv@phystech.edu

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  • Jupyter Notebook 87.7%
  • CSS 7.9%
  • SCSS 3.4%
  • Python 0.5%
  • JavaScript 0.5%
  • HTML 0.0%