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

JE-Unisla

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Title Algoritma Pendeteksi Titik Ekstrim Pada Sinyal ECG Untuk Analisis Awal Gejala Aritmia
 
Creator Afroni, M.Jasa
Basuki, Bambang Minto
Bachri, affan
 
Subject Teknik Elektro dan Teknik Informatika
ECG; PQRST detection; Matlab; extreme point, arrhythmia
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Description Checking a patient's heart health is often done by recording the heart's electrical signals in the form of an Electrocardiogram (ECG). To identifya heart condition, it is customary to look at several extreme maximum and minimum points on the ECG signal known as PQRST points. Theheight 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 ofthese points to detect arrhythmia symptoms. Based on the test results using data obtained from Physionet MIT-BIH and cardiac patients at SaifulAnwar Hospital Malang, detection of the PQRST point can be done quickly and accurately using this method. However, this method is onlyintended to assist medical personnel in reading ECG signal recordings, not to replace the role of medical personnel in carrying out the diagnosis
 
Publisher Universitas Islam Lamongan
 
Contributor Prodi Teknik Elektro Universitas Islam Lamongan
 
Date 2020-09-15
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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Format application/pdf
 
Identifier https://jurnalteknik.unisla.ac.id/index.php/elektronika/article/view/514
10.30736/je.v5i2.514
 
Source JE-Unisla; Vol 5, No 2 (2020); 400-404
JE-Unisla; Vol 5, No 2 (2020); 400-404
26860653 http:/
25020986 http://
10.30736/je.v5i2
 
Language ind
 
Relation https://jurnalteknik.unisla.ac.id/index.php/elektronika/article/view/514/381
 
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Rights ##submission.copyrightStatement##
https://creativecommons.org/licenses/by-nc/4.0