Clinical Parameter Assessment in Magnetocardiography by Using the Support Vector Machine

نویسندگان

  • K. Kim
  • H. Kwon
  • Y. H. Lee
  • T. E. Kim
  • J. M. Kim
  • Y. K. Park
  • J. Y. Moon
  • Y. G. Ko
  • N. Chung
چکیده

We propose a method based on the support vector machine to assess a set of clinical parameters for MCG diagnoses. By using this method, we can conclude whether the parameters are suitable for classifying a specific disease, and we can extract the dominantly working parameters from the set. In this study, we test a well-known set of the field-map parameters for ischemia detection by using our method. Keywords—Magneocardiogram, support vector machine

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تاریخ انتشار 2005