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Use of machine learning for classification of magneto cardiograms

  • US 8,391,963 B2
  • Filed: 06/18/2010
  • Issued: 03/05/2013
  • 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;

    applying a direct kernel transform to said wavelet domain data, resulting in transformed data; and

    identifying said meaningful features and formulating said expert rules from said transformed data, using machine learning.

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