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Electrogram classification algorithm

  • US 8,521,281 B2
  • Filed: 10/14/2011
  • Issued: 08/27/2013
  • Est. Priority Date: 10/14/2011
  • Status: Active Grant
First Claim
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1. A method comprising:

  • receiving EGM signal data for a cardiac episode detected by an implantable medical device (IMD), wherein the EGM signal data includes at least ventricular sensed events and atrial sensed events;

    determining, using a probabilistic analysis, whether the EGM signal data indicates ventricular over-sensing (VOS), wherein a determination that the EGM signal data indicates VOS further comprises classifying the cardiac episode as inappropriately shocked;

    determining, when there is a determination that the EGM signal data does not indicate VOS, whether the EGM signal data indicates an atrial sensing issue, the atrial sensing issue including one of atrial over-sensing or atrial under-sensing, wherein;

    when there is a determination of the atrial sensing issue, the method further comprises determining whether the atrial sensing issues are repairable;

    when there is a determination that the atrial sensing issues are repairable, the method further comprises repairing the sensing issues and classifying the cardiac episode based on a set of classification rules that consider both the ventricular and atrial sensed events;

    when there is a determination that the atrial sensing issues are not repairable, the method further comprises classifying the cardiac episode based on at least one classification rule that considers the ventricular sensed events but not the atrial sensed events; and

    the classification of the cardiac episode based on a set of classification rules that consider both the ventricular and atrial sensed events, and the classification of the cardiac episode based on at least one classification rule that considers the ventricular sensed events but not the atrial sensed events comprises one of ventricular tachycardia/ventricular fibrillation, inappropriately shocked, or indeterminate.

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