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Example prediction code for MATLAB for the PhysioNet/CinC Challenge 2020

Contents

This code uses two main scripts to train the model and classify the data:

  • train_model.m Train your model. Add your model code to the train_12ECG_model function. It also performs all file input and output. Do not edit this script or we will be unable to evaluate your submission.
  • driver.m is the classifier which calls the output from your train_model. It also performs all file input and output. Do not edit this script or we will be unable to evaluate your submission.

Check the code in these files for the input and output formats for the train_model and driver scripts.

To create and save your model, you should edit train_12ECG_classifier.m script. Note that you should not change the input arguments of the train_12ECG_classifier function or add output arguments. The needed models and parameters should be saved in a separated file. In the sample code, an additional script, get_12ECG_features.m, is used to extract hand-crafted features.

To run your classifier, you should edit the run_12ECG_classifier.m script, which takes a single recording as input and outputs the predicted classes and probabilities. Please, keep the formats of both outputs as they are shown in the example. You should not change the inputs and outputs of run_12ECG_classifier function. The needed models and parameters can be loaded in the load_12ECG_model function.

Check the code in these files for the input and output formats for the load_12ECG_model and run_12ECG_classifier functions.

Running

You can run this prediction code by starting MATLAB and running

train_model(training_data, model)
driver(model, test_data, test_outputs)

where training_data is a directory of training data files, model is a directory of files for the model, test_data is the directory of test data files, and test_outputs is a directory of classifier outputs. The PhysioNet/CinC 2020 webpage provides a training database with data files and a description of the contents and structure of these files.

Submission

The driver.m, get_12ECG_score.m, and get_12ECG_features.m scripts must be in the root path of your repository. If they are inside a folder, then the submission will be unsuccessful.

Details

The code uses three main toolboxes:

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MATLAB example classifier for the PhysioNet/Computing in Cardiology Challenge 2020

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