Reliable low-cost telecardiology: High-sensitivity detection of ventricular beats using dictionaries

B. S. Chandra, C. S. Sastry, S. Jana
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引用次数: 1

Abstract

Can reliable telecardiology be achieved at low bandwidth cost? In response, we propose a detector at the user end so that only beats found to be anomalous are transmitted to a diagnostic center, where all received beats are correctly (re)classified. In this framework, high reliability is achieved by detectors with high sensitivity. Having laid the design framework, we then realize desired high-sensitivity detection using a dictionary learning approach. Specifically, using patient records from the MIT-BIH arrhythmia database, we detect ventricular ectopic beats (VEBs), which are known to be precursors to various serious arrhythmic conditions in the heart. In particular, we achieve a reliability of one undetected VEB in one thousand while saving 78.2% bandwidth using dictionaries with 240 atoms. With larger dictionaries with 420 atoms, we achieve an even higher bandwidth savings of 79.2% while allowing no (less than one in 1766) undetected VEB. Finally, we compare our results with performances a large set of reported heartbeat classifiers, and demonstrate the suitability of our approach in the context of telecardiology.
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可靠的低成本心电学:使用字典高灵敏度检测心室跳动
能否以低带宽成本实现可靠的心电学?作为回应,我们建议在用户端安装一个检测器,这样只有发现异常的节拍才会被传输到诊断中心,在那里所有接收到的节拍都被正确(重新)分类。在这个框架中,高可靠性是由高灵敏度的探测器实现的。在奠定了设计框架之后,我们使用字典学习方法实现了期望的高灵敏度检测。具体来说,使用来自MIT-BIH心律失常数据库的患者记录,我们检测心室异位搏(VEBs),这是已知的各种心脏严重心律失常状况的前兆。特别是,我们实现了千分之一未检测到的VEB的可靠性,同时使用240个原子的字典节省了78.2%的带宽。对于包含420个原子的更大的字典,我们实现了更高的带宽节省79.2%,同时不允许未检测到VEB(在1766中少于一个)。最后,我们将我们的结果与大量已报道的心跳分类器的性能进行了比较,并证明了我们的方法在心脏远端学背景下的适用性。
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