I have an ECG signal and want to predict the nth instance of signal based on previous m samples.

Which of these (or some other) solution will be best suitable for it:

  1. Using past m samples as features and (m+1)th as the y
  2. Using Signal Modelling algorithms (like Padé approximant or Levinson-Durbon Recursion)

If using Signal Modelling algorithms, which algorithm (and order of poles) will be most suitable to ECG as it can vary quickly. Thanks!

  • $\begingroup$ Is 'ECG' referring to electrocardiographs or something else? $\endgroup$ – IWS Apr 6 '17 at 7:02
  • $\begingroup$ @IWS Yes Electrocardiographs $\endgroup$ – Failed Scientist Apr 7 '17 at 10:36

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