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dc.contributor.authorShazwani, Shufni
dc.contributor.authorMohd Yusoff, Mashor, Prof. Madya Dr.
dc.contributor.authorMohd Shaiful Aziz, Rashid Ali
dc.date.accessioned2013-12-12T08:30:04Z
dc.date.available2013-12-12T08:30:04Z
dc.date.issued2012-06-18
dc.identifier.citationp. 522 - 527en_US
dc.identifier.isbn978-967-5760-11-2
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/30493
dc.descriptionThe 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.en_US
dc.description.abstractThe 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 analyzeden_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.relation.ispartofseriesProceedings of the The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012);
dc.subjectECG signalen_US
dc.subjectQRS complexen_US
dc.subjectST segmenten_US
dc.subjectHeart diseaseen_US
dc.subjectWavelet transformen_US
dc.subjectTime domain analysisen_US
dc.titleAn overview of analysis on ECG signal for heart diseaseen_US
dc.typeWorking Paperen_US
dc.contributor.urlshazwani.shufni@gmail.comen_US
dc.contributor.urlmymashor@yahoo.com.myen_US
dc.contributor.urlshaifulaziz@unimap.edu.myen_US


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