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The Real-time Electrocardiogram Signal Monitoring System in Wireless Sensor Network

机译:无线传感器网络中的实时心电信号监测系统

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The Cardiovascular disease (CVD) is the most of death in the world. Electrocardiogram (ECG) is the graph that shows heart electrical activities. The physician record and detect the abnormal Electrocardiogram (ECG) signal by the Holter monitor that patient need to carry on the device for record ECG signal in 24 hours. Pan-Tomkins algorithm was appropriate for Real-time ECG signal recognition because high accuracy and rapidly analysis. This research propose the Real-time ECG Signal monitoring system for detect the abnormal ECG signal by using Pan-Tomkins algorithm with Wireless Sensor Network. The system separated into 2 part; sender module and receiver module. Experimental the system by using the ECG signal data from MIT-BIH database. Selected 20 samples of abnormal ECG signal then experimental at 10 and 20 meters sender module-receiver module distance, calculate R-R interval and R amplitude threshold The results show that the Real-time ECG signal monitoring system detect 17 abnormal ECG signal, the accuracy is 85%. This systems efficient for detect the abnormal of ECG signal in real-time.
机译:心血管疾病(CVD)是世界上死亡最多的疾病。心电图(ECG)是显示心脏电活动的图表。医生通过动态心电图监护仪记录并检测异常的心电图(ECG)信号,病人需要在24小时内进行记录ECG信号的设备。 Pan-Tomkins算法适用于实时ECG信号识别,因为它具有很高的准确性和快速的分析能力。本研究提出了一种基于Pan-Tomkins算法和无线传感器网络的实时心电信号监测系统。系统分为2部分;发送者模块和接收者模块。使用MIT-BIH数据库中的ECG信号数据对系统进行实验。选取20个异常ECG信号样本,然后在10和20米的发送器模块-接收器模块距离处进行实验,计算RR间隔和R振幅阈值结果表明,实时ECG信号监控系统检测到17个异常ECG信号,精度为85 %。该系统可高效地实时检测ECG信号异常。

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