MATLAB: How to extract pcg signal features from a dataset for machine learning

Here are Statistics Toolbox utilities you should look into:

If you can recast your classification problem as a (generalized) linear regression model, functions lasso and lassoglm would help. Also, LinearModel.stepwise and GeneralizedLinearModel.stepwise, if you have a sufficiently recent version of MATLAB.

As you see, there are plenty of options. Without knowing more about your data, it's hard to say what might work best for you.

MATLAB: How to extract pcg signal features from a dataset for machine learning

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