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      Design of a web laboratory interface for ECG signal analysis using MATLAB builder NE

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      Author(s)
      Jaber, Hussain A.
      Aljobouri, Hadeel K.
      Çankaya, Ilyas
      Date
      2022-01-01
      Source Title
      Open Computer Science
      Print ISSN
      22991093
      Publisher
      Walter de Gruyter GmbH
      Volume
      12
      Issue
      1
      Pages
      227 - 237
      Language
      English
      Type
      Article
      Item Usage Stats
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      Abstract
      An electrocardiogram (ECG) is a noninvasive test, determining any defect in the heart rate or rhythm or changes in the shape of the QRS complex is very significant to detect cardiac arrhythmia. In this study, novel web-ECG simulation tools were proposed using MATLAB Builder NE with WebFigure and ASP.NET platform. The proposed web-ECG simulation tools consisted of two components. First, involved the analyses of normal real ECG signals by calculating the P, Q, R, S, and T values and detecting heart rate, while the second part related to extracting the futures of several types of abnormality real ECG. For calculating the PQRST values, simple and new mathematical equations are proposed in the current study using MATLAB. The Web ECG is capable to plot normal ECG signals and five arrhythmia cases, so the users are able to calculate PQRST easily using the proposed simple method. ECG simulation tools have been tested for validity and educational contributions with 62 undergraduate and graduate students at the Al-Nahrain University-Biomedical Engineering Department, Iraq. The proposed ECG simulation tools have been designed for academic learning to be run easily by a student using only any web browsers without the need for installing MATLAB or any extra programs. The proposed tools could provide a laboratory course for ECG signal analysis using a few buttons, as well as increase and develop the educational skills of students and researchers. © 2022 Hussain A. Jaber et al., published by De Gruyter.
      Keywords
      ECG simulation system
      Heart rate
      MATLAB builder NE
      QRS complex
      Web-based learning
      Permalink
      http://hdl.handle.net/11693/111883
      Published Version (Please cite this version)
      https://dx.doi.org/10.1515/comp-2022-0244
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      • National Magnetic Resonance Research Center (UMRAM) 301
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