Key result
A digital system for QRS detection based on the Murthy and Rangaraj algorithm was successfully designed in Verilog HDL and validated via software simulation to identify RR intervals.
A digital system using Verilog HDL can successfully implement the Murthy and Rangaraj algorithm for QRS peak and RR interval detection in ECG waveforms.
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.
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Islam et al. (2011) studied Arrhythmia. Digital system for QRS detection using Verilog HDL was evaluated on Detection of the peak of the QRS signal and RR interval. A digital system for QRS detection based on the Murthy and Rangaraj algorithm was successfully designed in Verilog HDL and validated via software simulation to identify RR intervals.
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