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METHOD AND DEVICE FOR SELF-LEARNING DYNAMIC ELECTROCARDIOGRAPHY ANALYSIS EMPLOYING ARTIFICIAL INTELLIGENCE

机译:人工智慧的自学动态心电图分析方法和装置

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.
机译:一种采用人工智能的自学动态心电图分析方法。该方法包括:预处理数据,基于深度学习方法执行心脏活动特征检测,干扰信号检测和心脏活动分类,执行信号质量评估和导线组合,检查心脏活动,对心电图事件进行分析计算和参数,然后自动输出报告数据。该方法实现了用于快速,全面的动态心电图处理的自动分析方法,并记录了自动分析结果的修改信息,同时还收集了修改数据并将其反馈给深度学习模型以进行连续训练,从而不断改进和增强自动分析方法的准确性。还公开了采用人工智能的自学习动态心电图分析设备。

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