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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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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1725351316025245696 |