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METHOD AND APPARATUS FOR CARDIAC ARRHYTHMIA CLASSIFICATION USING TEMPLATE BAND-BASED MORPHOLOGY ANALYSIS

  • US 20090005826A1
  • Filed: 09/08/2008
  • Published: 01/01/2009
  • Est. Priority Date: 01/20/2005
  • Status: Active Grant
First Claim
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1. A system for classifying tachyarrhythmias, the system comprising:

  • a feature vector generation circuit configured to produce a template feature vector (a) using a plurality of template morphological features on a plurality of template waveforms each associated a template heart beat of a known type cardiac rhythm, an arrhythmic feature vector (b) using a plurality of arrhythmic morphological features of an arrhythmic waveform associated with an arrhythmic heart beat sensed during a tachyarrhythmia, and a maximum feature vector (a_max) and a minimum feature vector (amin) using the plurality of template morphological features, the plurality of arrhythmic morphological features, the maximum feature vector (amax) and the minimum feature vector (amin) being within a template band related to predetermined confidence levels of the plurality of template morphological features;

    a correlation computing circuit coupled to the feature vector generation circuit, the correlation computing circuit configured to calculate a mean feature correlation coefficient (Fccmean) using the template feature vector (a) and the arrhythmic feature vector (b), a maximum feature correlation coefficient (Fccmax) using the maximum feature vector (amax) and the arrhythmic feature vector (b), and a minimum feature correlation coefficient (Fccmin) using the minimum feature vector (amin) and the arrhythmic feature vector (b); and

    a beat classification circuit coupled to the correlation analysis circuit, the beat classification circuit configured to classify the arrthythmic heart beat using the mean feature correlation coefficient (Fccmean), the maximum feature correlation coefficient (Fccmax), the minimum feature correlation coefficient (Fccmin), and at least one predetermined correlation threshold.

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