心肌周期型CNN对心肌拉伸运动心肌梗死的预测

2022 IEEE 12th Symposium on Computer Applications & Industrial Electronics (ISCAIE) Pub Date : 2022-05-21 DOI:10.1109/iscaie54458.2022.9794531

Koki Fukasawa, N. Tanabe, Junya Aoyama, Y. Miyagi

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引用次数: 0

摘要

超声心动图广泛应用于心脏疾病的诊断。诊断需要高水平的技术，分析心脏的确切状况非常困难。本文利用光流分析心肌梗死后心脏的动态变化，并由CNN确定。仿真结果表明，该方法可以有效地估计心肌梗死的伸长运动。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Myocardial infarctions prediction with cardiac cycle type CNN for cardiac stretching exercise

Echocardiography is widely used in the diagnosis of cardiac diseases. Diagnosis requires a high level of skill, and analyzing the exact condition of the heart is very difficult. In this paper, the dynamic changes in the heart due to myocardial infarction are analyzed using optical flow and determined by CNN. Simulations show that the proposed method is effective in estimating the elongation motion movement of myocardial infarction.

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2022 IEEE 12th Symposium on Computer Applications & Industrial Electronics (ISCAIE)

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