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Design a digital system for detection of abnormality condition of heart from ECG waveforms

机译:设计用于从ECG波形检测心脏异常状况的数字系统

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Heart disease is the leading cause of death in both men and women claiming up to 900,000 lives every year. Worldwide. An irregular heartbeat is an arrhythmia (also called dysrhythmia).Up to half of these deaths occurs even before emergency services can step in to intervene. To achieve this goal in this paper we have detected the peak of the QRS signal by using QRS detection method of Murthy and Rangaraj which is derivative based method, describe in Verilog HDL. The generated source has been simulated for validation and tested on software Verilogger Pro6.5 demo version.To best of the authers' knowledge this is the first attempt propose design a digital system of the QRS detection used by Murthy and Rangaraj algorithm which can be further implemented by the manufacturer company. In test bench coding we have given some sample values as an input of the peak detecting equations of Murthy and Rangaraj method and have got the appropriate output values according to the equations. From the output values we got the key point of RR interval between the peaks of QRS signal.
机译:心脏病是男性和女性的主要死亡原因,每年夺取多达90万人的生命。全世界。心律不齐是一种心律不齐(也称为心律不齐),其中甚至有一半的死亡发生在紧急服务部门介入之前。为了实现此目标,我们使用了基于Verilog HDL的基于导数的Murthy和Rangaraj的QRS检测方法来检测QRS信号的峰值。生成的源已经过仿真以进行验证,并在Verilogger Pro6.5演示版软件上进行了测试。据作者所知,这是首次尝试设计由Murthy和Rangaraj算法使用的QRS检测数字系统,该系统可以进一步应用。由制造商公司实施。在测试台编码中,我们给出了一些样本值作为Murthy和Rangaraj方法的峰值检测方程的输入,并根据这些方程获得了适当的输出值。从输出值中我们可以得出QRS信号峰值之间RR间隔的关键点。

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