Method, program, and device for diagnosing left ventricular systolic dysfunction on basis of electrocardiogram

• Main Author: KWON JOON-MYOUNG
• Format: Patent
• Language: Chinese; English
• Published: 26.04.2024
• Subjects: DIAGNOSIS; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; HUMAN NECESSITIES; HYGIENE; IDENTIFICATION; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; MEDICAL OR VETERINARY SCIENCE; PHYSICS; SURGERY

An embodiment of the present invention discloses a method for diagnosing left ventricular systolic dysfunction based on electrocardiogram performed by a computing device comprising at least one processor, comprising the steps of: acquiring electrocardiogram data; and estimating the occurrence probability of the left ventricular systolic dysfunction on the basis of the electrocardiogram data for the measurement subject of the electrocardiogram data using a neural network model learned in advance, the neural network model being learned on the basis of the correlation between the left ventricular systolic dysfunction and the change in electrocardiogram characteristics. 本发明的一实施例揭示一种由包含至少一个处理器的计算装置执行的以心电图为基础诊断左心室收缩功能障碍的方法，包括下列步骤：获取心电图数据；以及使用预先学习的神经网络模型以所述心电图数据为基础针对所述心电图数据的测量对象推断左心室收缩功能障碍发病概率，所述神经网络模型是以左心室收缩功能障碍与心电图特性的变化之间的相关关系为基础学习的。