Method For Automatic, Unsupervised Classification Of High-frequency Oscillations In Physiological Recordings

Abstract

Oscillatory signals may be used to determine a region of a patient's body that is associated with a medical condition. As described herein, oscillatory signals may be detected using a high sensitivity, low specificity detector. The oscillatory signals may be representative of discrete events in a patient's body. The detected signals may be tested in the context of surrounding background activity to identify anomalous discrete physiologic events that are sufficiently different from the surrounding background activity. The anomalous discrete physiologic events having correlative morphological, time, or location characteristics may be automatically clustered and clusters of anomalous physiologic events may be determined that are indicative of at least one region of the patient's body that is associated with a medical condition.


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Document History
  • Publication: May 3, 2016
  • Application: Feb 17, 2012
    US US 201213385413 A
  • Priority: Feb 17, 2012
    US US 201213385413 A
  • Priority: Feb 18, 2011
    US US 201161444560 P

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