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Hey Mehrdad,

• The definition for H doesn't seem to need two base cases. H_1 is defined by the recursion and H_0.
• "Hermite polynomials are not orthogonal in general" - but wikipedia says they are... (Though I've no idea what orthogonal polynomials even mean.) Is there a difference in your definition that I'm missing?
• How did you fit a Hermite function to the heart beats? I assume this is how you're constructing the input features for your model.
• Essentially, how is the Hermite basis function used in processing the dataset and how does it characterize the heart beats?
• Is "1-NN" referring to k-NN with k=1? Seems like the results are showing that ECG is an amazing indicator of this heart condition... Is k-NN supposed to be better than a human expert? Is it useful because human doctors have to spend a lot of time testing if a patient has this heart condition?

Hi,

- The "H" in all of the sources that I looked has been initiated in two steps. - For the fitting point you mentioned, the QRS complex is remodelled via a Gaussian function, and then there is polynomial over it to cover the fluctuations - 1-NN is k-NN with k=1, and the results are high and certainly in a level that is possible to compete (and even beat?) human-level. - I would say they probably wont spend "a lot of time", but it is certainly an unnecessary task for them if the results are getting to the same level.

I really appreciate your positive comments and points, Thanks!