Hybrid classification engine for cardiac arrhythmia cloud service in elderly healthcare management
Hybrid classification engine for cardiac arrhythmia cloud service in elderly healthcare management
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DOI：
10.1016/j.jvlc.2014.09.012
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发表时间：
2014-12-01
影响因子：
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通讯作者：
Kuo, Ting-Chun
中科院分区：
文献类型：
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作者：
Chen, Huan;Cheng, Bo-Chao;Kuo, Ting-Chun
随着年龄的增长，老年人的自我调节能力大大退化，老年人往往面临着心脏疾病的巨大潜在危害。在实践中，心电图（ECG）是一种众所周知的非侵入性程序，用于记录心律和诊断不寻常的心脏疾病。在本文中，我们提出了一个医疗管理系统，名为CardiaGuard，这是专门用于监测和分析老年人的心脏疾病事件。CardiaGuard云服务是一个基于支持向量机（SVM）和随机树（RT）分类算法实现的混合分类器设计的专家系统。我们进行了一个全面的性能评估，这表明所提出的混合分类引擎能够检测六种类型的心脏疾病，具有更高的准确率比基于SVM的分类单独。CardiaGuard是一个很好的解决方案，可以提高心脏病老年人医疗保健管理的良好临床实践质量。(C)2014爱思唯尔有限公司版权所有。
The self-regulation ability of the elderly is largely degenerated with the age increases, and the elderly often expose to great potential hazards of heart disorders. In practice, the electrocardiography (ECG) is one of the well-known non-invasive procedures used as records of heart rhythms and diagnosis of unusual heart diseases. In this paper, we propose a healthcare management system, named CardiaGuard, which is specialized in monitoring and analysis the heart disorder events for the elderly. The CardiaGuard cloud service is an expert system designed based on the hybrid classifier implemented using support vector machine (SVM) and random tree (RT) classification algorithm. We conduct a comprehensive performance evaluation which shows the proposed hybrid classification engine are able to detect six types of cardiac disorders with higher accuracy rate than the SVM-based classifier alone. CardiaGuard poses a great solution to enhance the quality of good clinical practice on the healthcare management for the elderly in cardiology. (C) 2014 Elsevier Ltd. All rights reserved.