An overview of analysis on ECG signal for heart disease
The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Po...
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Universiti Malaysia Perlis (UniMAP)
2013
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my.unimap-304932013-12-12T08:30:04Z An overview of analysis on ECG signal for heart disease Shazwani, Shufni Mohd Yusoff, Mashor, Prof. Madya Dr. Mohd Shaiful Aziz, Rashid Ali shazwani.shufni@gmail.com mymashor@yahoo.com.my shaifulaziz@unimap.edu.my ECG signal QRS complex ST segment Heart disease Wavelet transform Time domain analysis The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Postgraduates Student Association Ireland (MyPSI), 18th - 19th June 2012 at Putra World Trade Center (PWTC), Kuala Lumpur, Malaysia. The heart is the most important organ in the human body. The malfunctioning of the heart itself can be fatal to one’s life. The heart is built up from a myogenic muscular organ consist of a circulatory system which is responsible for pumping oxygenated and deoxygenated blood throughout the blood vessel by repeated, rhythmic contraction. Heart diseases had become one of the major causes of death throughout the world. Although it is not an infectious disease like HIV/AIDS and TB or a heredity disease like cancer, it still contributes to one of the most deadly disease. The ECG signal serves as a guideline for the detection of heart disease. Therefore, many techniques had been explored and proposed for the signal processing of ECG signal. These techniques include feature extraction and classification process. Filtering is also applied to the ECG signal in order to have smooth and noise free signal. It is seen that for each techniques used depends on the heart disease which wants to be analyzed 2013-12-12T08:30:04Z 2013-12-12T08:30:04Z 2012-06-18 Working Paper p. 522 - 527 978-967-5760-11-2 http://hdl.handle.net/123456789/30493 en Proceedings of the The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012); Universiti Malaysia Perlis (UniMAP) |
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ECG signal QRS complex ST segment Heart disease Wavelet transform Time domain analysis |
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ECG signal QRS complex ST segment Heart disease Wavelet transform Time domain analysis Shazwani, Shufni Mohd Yusoff, Mashor, Prof. Madya Dr. Mohd Shaiful Aziz, Rashid Ali An overview of analysis on ECG signal for heart disease |
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The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Postgraduates Student Association Ireland (MyPSI), 18th - 19th June 2012 at Putra World Trade Center (PWTC), Kuala Lumpur, Malaysia. |
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shazwani.shufni@gmail.com |
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shazwani.shufni@gmail.com Shazwani, Shufni Mohd Yusoff, Mashor, Prof. Madya Dr. Mohd Shaiful Aziz, Rashid Ali |
format |
Working Paper |
author |
Shazwani, Shufni Mohd Yusoff, Mashor, Prof. Madya Dr. Mohd Shaiful Aziz, Rashid Ali |
author_sort |
Shazwani, Shufni |
title |
An overview of analysis on ECG signal for heart disease |
title_short |
An overview of analysis on ECG signal for heart disease |
title_full |
An overview of analysis on ECG signal for heart disease |
title_fullStr |
An overview of analysis on ECG signal for heart disease |
title_full_unstemmed |
An overview of analysis on ECG signal for heart disease |
title_sort |
overview of analysis on ecg signal for heart disease |
publisher |
Universiti Malaysia Perlis (UniMAP) |
publishDate |
2013 |
url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/30493 |
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1643795589402460160 |
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13.214268 |