Invention Grant
- Patent Title: Method for automatic, unsupervised classification of high-frequency oscillations in physiological recordings
- Patent Title (中): 自动,无监督分类生理记录中高频振荡的方法
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Application No.: US13385413Application Date: 2012-02-17
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Publication No.: US09326698B2Publication Date: 2016-05-03
- Inventor: Justin Blanco , Brian Litt
- Applicant: Justin Blanco , Brian Litt
- Applicant Address: US PA Philadelphia
- Assignee: The Trustees of the University of Pennsylvania
- Current Assignee: The Trustees of the University of Pennsylvania
- Current Assignee Address: US PA Philadelphia
- Agency: Baker & Hostetler LLP
- Main IPC: A61B5/04
- IPC: A61B5/04 ; A61B5/0476 ; A61B5/048 ; A61B5/00

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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