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Use of machine learning for classification of magneto cardiograms

  • US 9,655,564 B2
  • Filed: 10/30/2015
  • Issued: 05/23/2017
  • Est. Priority Date: 07/01/2003
  • Status: Active Grant
First Claim
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1. A method for automating the identification of meaningful features and the formulation of expert rules for classifying magnetocardiography data, comprising:

  • applying a wavelet transform to sensed data acquired from sensors sensing magnetic fields generated by a patient'"'"'s heart activity, resulting in wavelet domain data; and

    following additional transformation of said wavelet domain data, identifying said meaningful features and formulating said expert rules therefrom, using machine learning.

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