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Wavelet modeling paradigms for cardiovascular physiological signal interpretation

  • US 8,595,164 B2
  • Filed: 01/27/2011
  • Issued: 11/26/2013
  • Est. Priority Date: 01/27/2011
  • Status: Expired due to Fees
First Claim
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1. A method of processing a cardiovascular physiological signal, comprising:

  • decomposing the cardiovascular physiological signal into a first plurality of wavelet coefficients using a wavelet transform;

    selecting a second plurality of wavelet coefficients from the first plurality of wavelet coefficients, the second plurality being a subset of the first plurality;

    classifying or clustering the cardiovascular physiological signal into one of a plurality of predetermined classes based on the second plurality of wavelet coefficients using an artificial neural network; and

    computing a regularized variance of each of the first plurality of wavelet coefficients, wherein the second plurality of wavelet coefficients are selected based on the regularized variance.

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