Heart Electrical Signal Pattern Analysis in Electrocardiogram Using Principle Component Analysis Method

Had been done research about heart electrical signal pattern analysis on electrocardiogram to know and to identify the characteristics of each recorded signal wave which was recorded by using Principle Component Analysis. Some steps that are needed to achieve the result of electrocardiogram consist of signal processing, smoothing (filter), features extraction, normalization, three dimensional graphics and data reduction or principle Component Analysis. In this research, the information about heart beats is detected from peak QRS complex and RR interval in the electrocardiogram signal. It is obtained that the plotted results of the both of principal component from the Principle Component Analysis projection show that there are several dissemination. It happens because of the result of the movement of electrocardiogram signal wave toward time and its amplitude. The result received from Principle Component Analysis Method shows that the character of each of the electrocardiogram signal wave has different patterns which are represented by spots’ distribution on the graphics. Those spots show the differences and the similarities of time taken through by each of electrocardiogram signal wave and its amplitude show that Principle Component Analysis can be used to distinguish the characters of each signal and to show the existing movement.