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dc.contributor.authorArvanaghi, R
dc.contributor.authorDaneshvar, S
dc.contributor.authorSeyedarabi, H
dc.contributor.authorGoshvarpour, A
dc.date.accessioned2018-08-26T07:14:54Z
dc.date.available2018-08-26T07:14:54Z
dc.date.issued2017
dc.identifier.urihttp://dspace.tbzmed.ac.ir:8080/xmlui/handle/123456789/45231
dc.description.abstractEarly and correct diagnosis of cardiac arrhythmias is an important step in the treatment of patients. In the recent decades, a wide area of bio-signal processing is allocated to cardiac arrhythmia classification. Unlike other studies, which have employed Electrocardiogram (ECG) signal as a main signal to classify the arrhythmia and sometimes they have used other vital signals as an auxiliary signal to fill missing data and robust detections. In this study, the Arterial Blood Pressure (ABP) is used to classify six types of heart arrhythmias. In other words, in this study for first time, the arrhythmias are classified according ABP signal information. Discrete Wavelet Transform (DWT) is used to de-noise and decompose ABP signal. On feature extraction stage, three types of features including frequency, power, and entropy are extracted. In classification stage, Least Square Support Vector Machine (LS-SVM) is employed as a classifier. The accuracy, sensitivity, and specificity rates of 95.75%, 96.77%, and 96.32% are achieved, respectively. Currently, the classification of cardiac arrhythmias is based on the ABP signal which has some advantages. The recording of ABP signal is done by means of one electrode and therefore it has resulted in lower costs compared with the ECG signal. Finally, it has been shown that ABP has very important and valuable information about the heart performance and can be used in arrhythmia classification.
dc.language.isoEnglish
dc.relation.ispartofBIOMEDICAL ENGINEERING-APPLICATIONS BASIS COMMUNICATIONS
dc.subjectArterial blood pressure
dc.subjectCardiac arrhythmias
dc.subjectClassification
dc.subjectLinear square support vector machine
dc.subjectDiscrete wavelet transform
dc.subjectElectrocardiogram
dc.titleCLASSIFICATION OF CARDIAC ARRHYTHMIAS USING ARTERIAL BLOOD PRESSURE BASED ON DISCRETE WAVELET TRANSFORM
dc.typeArticle
dc.citation.volume29
dc.citation.issue5
dc.citation.indexWeb of science
dc.identifier.DOIhttps://doi.org/10.4015/S101623721750034X


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