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MACHINE LEARNING USING SIMULATED CARDIOGRAMS
专利权人:
Inc.;Vektor Medical
发明人:
Christopher Villongco
申请号:
US16162695
公开号:
US20190328257A1
申请日:
2018.10.17
申请国别(地区):
US
年份:
2019
代理人:
摘要:
A system is provided for generating a classifier for classifying electromagnetic data (e.g., ECG) derived from an electromagnetic source (e.g., heart). The system accesses a computational model of the electromagnetic source. The computational model models the electromagnetic output of the electromagnetic source over time based on a source configuration (e.g., rotor location) of the electromagnetic source. The system generates, for each different source configuration (e.g., different rotor locations), a modeled electromagnetic output (e.g., ECG) of the electromagnetic source for that source configuration. For each modeled electromagnetic output, the system derives the electromagnetic data for the modeled electromagnetic output and generates a label (e.g., rotor location) for the derived electromagnetic data from the source configuration for the modeled electromagnetic data. The system trains a classifier with the derived electromagnetic data and the labels as training data. The classifier can then be used to classify the electromagnetic output collected from patients.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

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