FPGA Based Design and Implementation for Detecting Cardiac Arrhythmias: An Experimental Approach
Detection of arrhythmias by processing ECG has become vital. The QRS complex being a dominant
feature of ECG places a key role in identifying Cardiac arrhythmias. The QRS complex being detected
by 17 Hz band pass filter and shaped into a square pulse of 200 ms width representing R peak by
other circuitry is utilized in this work. Various arrhythmias are identified based on abnormalities in the
time intervals between consecutive R peaks using Tompkins algorithm is presented. The algorithm is
implemented in FPGA Spartan3.The algorithm is written in Verilog HDL and tested on Xilinx 13.1 ISE.
The simulated test results have shown the detection accuracy around 99.3% and dynamic power
consumed is 22 mW.
Department of Electronics and Communication Engineering, Anurag Group of Institutions, Hyderabad, India.
K. S. Rao
K L University, Andhra Pradesh, India.
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