- 专利标题: METHOD AND DEVICE FOR SELF-LEARNING DYNAMIC ELECTROCARDIOGRAPHY ANALYSIS EMPLOYING ARTIFICIAL INTELLIGENCE
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申请号: US16651912申请日: 2018-01-12
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公开(公告)号: US20200260980A1公开(公告)日: 2020-08-20
- 发明人: Chang Liu , Chuanyan Hu , Weiwei Zhou , Haitao Lu , Jiayu Wang , Jun Cao
- 申请人: Lepu Medical Technology (Bejing) Co., Ltd.
- 优先权: com.zzzhc.datahub.patent.etl.us.BibliographicData$PriorityClaim@2a906078
- 国际申请: PCT/CN2018/072359 WO 20180112
- 主分类号: A61B5/04
- IPC分类号: A61B5/04 ; A61B5/00 ; A61B5/0472 ; A61B5/0468 ; A61B5/0456
摘要:
A self-learning dynamic electrocardiography analysis method employing artificial intelligence. The method comprises: pre-processing data, performing cardiac activity feature detection, interference signal detection and cardiac activity classification on the basis of a deep learning method, performing signal quality evaluation and lead combination, examining cardiac activity, performing analytic computations on an electrocardiogram event and parameters, and then automatically outputting report data. The method achieves an automatic analysis method for a quick and comprehensive dynamic electrocardiography process, and recording of modification information of an automatic analysis result, while also collecting and feeding back modification data to a deep learning model for continuous training, thereby continuously improving and enhancing the accuracy of the automatic analysis method. Also disclosed is a self-learning dynamic electrocardiography analysis device employing artificial intelligence.
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