Invention Grant
- Patent Title: Method of physiological data analysis and measurement quality check using principal component analysis
- Patent Title (中): 使用主成分分析的生理数据分析和测量质量检查方法
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Application No.: US11564870Application Date: 2006-11-30
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Publication No.: US07769434B2Publication Date: 2010-08-03
- Inventor: Joel Qiuzhen Xue
- Applicant: Joel Qiuzhen Xue
- Applicant Address: US NY Schenectady
- Assignee: General Electric Company
- Current Assignee: General Electric Company
- Current Assignee Address: US NY Schenectady
- Agency: Andrus, Sceales, Starke & Sawall, LLP
- Main IPC: A61B5/0402
- IPC: A61B5/0402

Abstract:
In a method of analyzing patient physiological data, the data is subjected to principal component analysis and compared to a model physiological data principal component analysis. The comparison is used to identify correlations present in the morphology of the patient physiological data. The present invention further includes determining a confidence interval for the detection of a morphological feature and utilizing this confidence interval for improving the quality of the detection of morphological features of the patient physiological data, including automated morphological feature identification.
Public/Granted literature
- US20080132799A1 METHOD OF PHYSIOLOGICAL DATA ANALYSIS AND MEASUREMENT QUALITY CHECK USING PRINCIPAL COMPONENT ANALYSIS Public/Granted day:2008-06-05
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