A Graphical User Interface Based Heart Rate Monitoring Process and Detection of PQRST Peaks from ECG Signal

Abstract

An electrocardiogram (EKG/ECG) is represented as the recording of electrical impulses of the cardiac muscle and it is utilized in investigating and detecting the cardiac disease or arrhythmia. This activity of electrical impulses of the heart’s cardiac muscle exhibits the translation into the tracings of line on a paper. This dips and spikes over the tracings of the line are determined to be as a wave series. This wave series is consisting of six waveforms of various characteristics which are discernible and its differentiation can be made as P peak, Q peak, R peak, S peak, T peak, and sometimes U peak. One of the most ancient methodologies in analyzing the ECG signal for making the detection of PQRST waveform is done based on digital signal processing technique such as fast Fourier transform (FFT), discrete wavelet transform (DWT), and artificial feed forward neural networks. However, this proposal of current work is made in such a way that it is a very dependable and simple method in detecting the values of P, Q, R, S, and T peak values of an ECG waveform. This technique is proposed on the basis of determining the mathematical relationship between the ECG signal’s peak value and the time sequence. This methodology has been focused in the direction of making the graphical user interface (GUI) design for exhibiting the detection of PQRST by utilizing the MATLAB tool and plots these peak values on the waveform of ECG signal at each instant of its respective time. These types of ECG signal processing techniques will be aided for scientific research purposes instead of proceeding with a medical diagnosis.