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

机译:设计一种数字系统,用于检测心电图的心态异常条件

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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:心脏病是每年申请最多90万个生命的男女死亡的主要原因。全世界。不规则的心跳是一种心律失常(也称为Dysththmia)。即使在紧急情况介入之前,也会发生这些死亡的一半。为了在本文中实现这一目标,我们通过使用Murthy和Rangaraj的QRS检测方法检测了QRS信号的峰值,这是基于衍生的方法,在Verilog HDL中描述。已模拟生成的源以验证和测试软件Verilogger Pro6.5演示版本。对于作者的知识,这是第一次尝试设计MURTHY和RANGARAJ算法使用的QRS检测的数字系统,可以进一步由制造商公司实施。在测试台面编码中,我们已经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,并且根据方程式获得了适当的输出值。从输出值我们得到了QRS信号峰之间的RR间隔的关键点。

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