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Implementation of a Data Packet Generator Using Pattern Matching for Wearable ECG Monitoring Systems

机译:使用模式匹配的可穿戴式ECG监测系统数据包生成器的实现

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In this paper, a packet generator using a pattern matching algorithm for real-time abnormal heartbeat detection is proposed. The packet generator creates a very small data packet which conveys sufficient crucial information for health condition analysis. The data packet envelopes real time ECG signals and transmits them to a smartphone via Bluetooth. An Android application was developed specifically to decode the packet and extract ECG information for health condition analysis. Several graphical presentations are displayed and shown on the smartphone. We evaluate the performance of abnormal heartbeat detection accuracy using the MIT/BIH Arrhythmia Database and real time experiments. The experimental result confirm our finding that abnormal heart beat detection is practically possible. We also performed data compression ratio and signal restoration performance evaluations to establish the usefulness of the proposed packet generator and the results were excellent.
机译:本文提出了一种使用模式匹配算法进行实时异常心跳检测的包生成器。数据包生成器会创建一个非常小的数据包,该数据包会传递足够的关键信息以进行健康状况分析。数据包会封装实时ECG信号,并通过蓝牙将其发送到智能手机。专门开发了一个Android应用程序,用于解码数据包并提取ECG信息以进行健康状况分析。在智能手机上显示并显示了一些图形演示。我们使用MIT / BIH心律失常数据库和实时实验评估异常心跳检测准确性的性能。实验结果证实了我们的发现,即实际上可以进行异常心跳检测。我们还进行了数据压缩率和信号恢复性能评估,以确定所提出的数据包生成器的有用性,并且结果非常好。

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