Development of the ‘Healthcor’ System as a Cardiac Disorders Symptoms Detector using an Expert System based on Arduino Uno

In the modern era, our lifestyles are very fast-moving; this makes us highly susceptible to diseases, especially those associated with heart problems. In this research, we developed a portable early detection system for cardiac disorders. This system consists of passive electrodes, named SHIELD-...

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Main Authors: Hugeng Hugeng, Resky Kurniawan
Format: Article
Language:English
Published: Universitas Indonesia 2016-01-01
Series:International Journal of Technology
Subjects:
Online Access:http://ijtech.eng.ui.ac.id/article/view/1574
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spelling doaj-62df7f044996465ebc6682d55430e3f72020-11-25T00:24:50ZengUniversitas IndonesiaInternational Journal of Technology2086-96142087-21002016-01-0171788710.14716/ijtech.v7i1.15741574Development of the ‘Healthcor’ System as a Cardiac Disorders Symptoms Detector using an Expert System based on Arduino UnoHugeng Hugeng0Resky Kurniawan1Department of Computer Engineering, Faculty of Information and Communication Technology, Universitas Multimedia Nusantara, Jl. Scientia Boulevard, Gading Serpong, Tangerang 15810, IndonesiaDepartment of Computer Engineering, Faculty of Information and Communication Technology, Universitas Multimedia Nusantara, Jl. Scientia Boulevard, Gading Serpong, Tangerang 15810, IndonesiaIn the modern era, our lifestyles are very fast-moving; this makes us highly susceptible to diseases, especially those associated with heart problems. In this research, we developed a portable early detection system for cardiac disorders. This system consists of passive electrodes, named SHIELD-EKG-EMG-PA; a shield which allows Arduino-like boards to capture electrocardiography (ECG) and electromyography (EMG) signals, named SHIELD-EKG-EMG, both devices produced by Olimex; a microcontroller, based on Arduino Uno; and an expert system which is implemented by a personal computer. This system detects time intervals of various segments in ECG signals which are captured by the devices; it then analyzes the signals in order to determine whether the patient has cardiac disorders. We call our detecting system the HEALTHCOR system. A database was established, containing various possible values of parameters in ECG signals. The types of diseases that can be detected are heart rhythm disorders including sinus bradycardia, sinus tachycardia, sinus arrhythmia, and cardiac symptoms associated with intervals and the wave height, such as myocardial infarction. From our tests, the accuracy of our system is 96%. The resultant diagnoses of four patients are all appropriate, and used a commercial 12-lead electrocardiograph.http://ijtech.eng.ui.ac.id/article/view/1574Cardiac disorders detection system, Expert system, Electrocardiograph, HEALTHCOR
collection DOAJ
language English
format Article
sources DOAJ
author Hugeng Hugeng
Resky Kurniawan
spellingShingle Hugeng Hugeng
Resky Kurniawan
Development of the ‘Healthcor’ System as a Cardiac Disorders Symptoms Detector using an Expert System based on Arduino Uno
International Journal of Technology
Cardiac disorders detection system, Expert system, Electrocardiograph, HEALTHCOR
author_facet Hugeng Hugeng
Resky Kurniawan
author_sort Hugeng Hugeng
title Development of the ‘Healthcor’ System as a Cardiac Disorders Symptoms Detector using an Expert System based on Arduino Uno
title_short Development of the ‘Healthcor’ System as a Cardiac Disorders Symptoms Detector using an Expert System based on Arduino Uno
title_full Development of the ‘Healthcor’ System as a Cardiac Disorders Symptoms Detector using an Expert System based on Arduino Uno
title_fullStr Development of the ‘Healthcor’ System as a Cardiac Disorders Symptoms Detector using an Expert System based on Arduino Uno
title_full_unstemmed Development of the ‘Healthcor’ System as a Cardiac Disorders Symptoms Detector using an Expert System based on Arduino Uno
title_sort development of the ‘healthcor’ system as a cardiac disorders symptoms detector using an expert system based on arduino uno
publisher Universitas Indonesia
series International Journal of Technology
issn 2086-9614
2087-2100
publishDate 2016-01-01
description In the modern era, our lifestyles are very fast-moving; this makes us highly susceptible to diseases, especially those associated with heart problems. In this research, we developed a portable early detection system for cardiac disorders. This system consists of passive electrodes, named SHIELD-EKG-EMG-PA; a shield which allows Arduino-like boards to capture electrocardiography (ECG) and electromyography (EMG) signals, named SHIELD-EKG-EMG, both devices produced by Olimex; a microcontroller, based on Arduino Uno; and an expert system which is implemented by a personal computer. This system detects time intervals of various segments in ECG signals which are captured by the devices; it then analyzes the signals in order to determine whether the patient has cardiac disorders. We call our detecting system the HEALTHCOR system. A database was established, containing various possible values of parameters in ECG signals. The types of diseases that can be detected are heart rhythm disorders including sinus bradycardia, sinus tachycardia, sinus arrhythmia, and cardiac symptoms associated with intervals and the wave height, such as myocardial infarction. From our tests, the accuracy of our system is 96%. The resultant diagnoses of four patients are all appropriate, and used a commercial 12-lead electrocardiograph.
topic Cardiac disorders detection system, Expert system, Electrocardiograph, HEALTHCOR
url http://ijtech.eng.ui.ac.id/article/view/1574
work_keys_str_mv AT hugenghugeng developmentofthehealthcorsystemasacardiacdisorderssymptomsdetectorusinganexpertsystembasedonarduinouno
AT reskykurniawan developmentofthehealthcorsystemasacardiacdisorderssymptomsdetectorusinganexpertsystembasedonarduinouno
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