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

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buir.contributor.authorJaber, Hussain A.
buir.contributor.orcidJaber, Hussain A.|0000-0002-4683-679X
dc.citation.epage237en_US
dc.citation.issueNumber1en_US
dc.citation.spage227en_US
dc.citation.volumeNumber12en_US
dc.contributor.authorJaber, Hussain A.
dc.contributor.authorAljobouri, Hadeel K.
dc.contributor.authorÇankaya, Ilyas
dc.date.accessioned2023-02-28T07:53:26Z
dc.date.available2023-02-28T07:53:26Z
dc.date.issued2022-01-01
dc.departmentNational Magnetic Resonance Research Center (UMRAM)en_US
dc.description.abstractAn 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.en_US
dc.identifier.doi10.1515/comp-2022-0244en_US
dc.identifier.issn22991093
dc.identifier.urihttp://hdl.handle.net/11693/111883
dc.language.isoEnglishen_US
dc.publisherWalter de Gruyter GmbHen_US
dc.relation.isversionofhttps://dx.doi.org/10.1515/comp-2022-0244en_US
dc.source.titleOpen Computer Scienceen_US
dc.subjectECG simulation systemen_US
dc.subjectHeart rateen_US
dc.subjectMATLAB builder NEen_US
dc.subjectQRS complexen_US
dc.subjectWeb-based learningen_US
dc.titleDesign of a web laboratory interface for ECG signal analysis using MATLAB builder NEen_US
dc.typeArticleen_US

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