Algoritma Pendeteksi Titik Ekstrim Pada Sinyal ECG Untuk Analisis Awal Gejala Aritmia

Sari

Checking a patient's heart health is often done by recording the heart's electrical signals in the form of an Electrocardiogram (ECG). To identify
a heart condition, it is customary to look at several extreme maximum and minimum points on the ECG signal known as PQRST points. The
height of the extreme points and the distance (interval) between the points can be used to detect symptoms of heart disease such as arrhythmias.
This study uses a Matlab-based maximum and minimum extreme point detection algorithm to detect PQRST points and analyze the position of
these points to detect arrhythmia symptoms. Based on the test results using data obtained from Physionet MIT-BIH and cardiac patients at Saiful
Anwar Hospital Malang, detection of the PQRST point can be done quickly and accurately using this method. However, this method is only
intended to assist medical personnel in reading ECG signal recordings, not to replace the role of medical personnel in carrying out the diagnosis