CRADLE

1-Waveform Extraction

Scripts and tutorial for extracting raw ECG waveforms from GE Muse or PDFs of ECGs. It also includes examples of how to display and review your ECG data.

2-Generating Synthetic ECG Data

Generate your own synthetic electrocardiograms. Comes with the ability to alter many different aspects of the waveform to test different hypotheses.

3-Preprocessing

Key preprocessing steps for cleaning and normalizing ECG data.

4-Models

Different example models we've built to showcase approaches that work for electrocardiograms, in pytorch and tensorflow/keras.

5-Training with Ignite and Optuna

A framework built on PyTorch Ignite using Optuna to allow for rapid experimentation and displaying your results using Tensorboard

6-Putting it into Practice: The ValveNet Model

See the notebooks we used for generating our figures and key results on our valvular heart disease model published in JACC.

Development Team

Lead Developers:
-Pierre Elias
-Adler Perotte

Contributors:
-Vijay Rajaram
-Shengqing Xia
-Alex Wan
-Junyang Jiang
-Yuge Shen
-Han Wang

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