International Journal of Electrical, Electronics and Data Communication (IJEEDC)
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Statistics report
Jan. 2020
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 83
Paper Published : 1385
No. of Authors : 3746
  Journal Paper

Paper Title
ACF Algorithm for ECG Signal Implementation

Abstract
It is believed that the ECG signal is a standard signal for the control of heart rate and diagnose various cardiac problems. In an ECG signal, the most important feature is the QRS complex. The duration of the QRS complex and the height gives a lot of data that allows the doctor to assess the condition of the human heart. However, the ECG signal is noise and other artifacts which hamper the analysis of the signal with bare eyes different algorithms are developed to extract features from the ECG signal. But here we have implemented two algorithms PAN - TOMPKINS and ACF (autocorrelation algorithm) to find the QRS complex of the 12-lead ECG signal. Correlation function is used here to determine whether the ECG signal is normal or abnormal signals are called arrhythmias. MATLAB is used for the simulation of both the algorithms and the same is also implemented in Xilinx FPGAs. This approach provides accurate for the analysis of ECG results in real time. Key Words - Pan Tompkins Algorithm, Autocorrelation Function Algorithm, Band Pass Filter, Differentiator , Moving Window.


Author - Jenitha A, Elumalai R

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