BD-ECG:通过行为耦合识别心电图中的心肌梗死

Proceedings of the 6th International Conference on Information System and Data Mining Pub Date : 2022-05-27 DOI:10.1145/3546157.3546169

Uzair Iqbal, Teh Ying Wah, Muhammad Habib Ur Rehman, Muhammad Bilal, Adeel Ahmed

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引用次数: 1

摘要

在心血管疾病中，早期发现和识别不同疾病之间的关系仍然是心脏病学家面临的开放性问题。本文提出了一种新的心电图数据行为检测方案，称为行为检测-电图。行为检测-电图用于早期发现心电图异常，尤其是心肌梗死。行为检测-电图嵌入了两层架构，将行为关系概念与心肌检测算法相结合。在未来，突出显示的积分方案将帮助我们识别心血管疾病的性质，无论是正常还是异常

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BD-ECG: Identification of Myocardial Infarction in ECG via Behavior Coupling

In the cardiovascular diseases, early detection and identification of the relationship between different diseases are still open problems for cardiologists. In this paper, we propose a novel scheme for behavioral detection in electrocardiography data named as Behavioral detection-Electrography. The Behavioral detection-Electrography is used for early detection of abnormalities in electrography especially myocardial infarction. The Behavioral detection-Electrography embeds the two-tier architecture in which we integrate the behavioral relationship concepts with myocardial detection algorithm. In future the highlighted integral scheme will help us to identify the nature of cardiovascular diseases either it's normal or abnormal

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Proceedings of the 6th International Conference on Information System and Data Mining

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