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Detecting, assessing and managing epilepsy using a multi-variate, metric-based classification analysis

  • US 9,538,951 B2
  • Filed: 11/09/2015
  • Issued: 01/10/2017
  • Est. Priority Date: 10/01/2010
  • Status: Active Grant
First Claim
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1. A medical device system, comprising:

  • a seizure determination unit configured to detect at least one seizure event based upon body data of a patient;

    a cardiac data acquisition unit configured to receive cardiac data of the patient;

    a seizure metric determination unit configured to determine, for the seizure event, at least two seizure metric values characterizing the seizure event, wherein each of said at least two seizure metric values is based at least in part on a cardiac index;

    a classification analysis unit configured to classify the seizure event as resulting in cardiac dysfunction based at least in part upon the at least two seizure metric values, wherein the classification analysis unit is configured to identify one or more seizure classes by determining one or more relationships among at least a portion of a plurality of seizure events, wherein the one or more relationships are based on the at least two seizure metric values for each seizure event;

    a classification analysis comparator unit configured to identify a change in at least one class of said one or more seizure classes from a first classification analysis to a second classification analysis; and

    an event/warning unit configured to issue a warning of the seizure event resulting in cardiac dysfunction.

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