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Algorithm adaptation to an external impact on the data

  • US 9,643,012 B2
  • Filed: 02/11/2014
  • Issued: 05/09/2017
  • Est. Priority Date: 02/18/2013
  • Status: Active Grant
First Claim
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1. An ambulatory medical device, comprising:

  • a signal receiver circuit, configured to receive a physiologic signal, for detecting a physiologic target event or condition of a patient;

    a confounding event detection and analysis circuit, including a confounding event-bearing (CEB) signal receiver circuit configured to receive at least one CEB signal, and a confounding event detector configured to detect the presence of a confounding event from the at least one CEB signal, different from the physiologic target event or condition;

    a signal processing circuit, configured tosegment the physiologic signal into at least first and second segments based on a detected start time of the confounding event, the first segment exhibiting a different steady-state signal level than the second segment, andadjust at least one of the first or second segments;

    wherein adjusting at least one of the first or second segments of a physiologic signal includes computing and using the difference between the at least one of the first or second segments and a reference signal over a specified time period relative to a start time of the confounding event;

    a target event or condition detector circuit, configured to detect the physiologic target event or condition from the at least one of the first or second adjusted segments of the physiologic signal;

    wherein the confounding event detection and analysis circuit is further configured todetermine the presence of the confounding event according to whether or not the at least one CEB signal meets at least one physiologically relevant criterion comprising a range of values having physiological relevance to the target event, andindicate the presence of a confounding event if the CEB signal falls outside of the range of values having physiological relevance to the target event.

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