{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,10]],"date-time":"2026-05-10T16:47:08Z","timestamp":1778431628669,"version":"3.51.4"},"reference-count":32,"publisher":"Walter de Gruyter GmbH","issue":"1","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,6,28]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>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.<\/jats:p>","DOI":"10.1515\/comp-2022-0244","type":"journal-article","created":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T09:42:34Z","timestamp":1656409354000},"page":"227-237","source":"Crossref","is-referenced-by-count":5,"title":["Design of a web laboratory interface for ECG signal analysis using MATLAB builder NE"],"prefix":"10.1515","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4683-679X","authenticated-orcid":false,"given":"Hussain A.","family":"Jaber","sequence":"first","affiliation":[{"name":"National MR Research Center (UMRAM), Bilkent University , 06800 Ankara , Turkey"},{"name":"Department of Engineering of Medical Instrumentation Techniques, Kut University College , Kut , Iraq"}]},{"given":"Hadeel K.","family":"Aljobouri","sequence":"additional","affiliation":[{"name":"Biomedical Engineering Department, College of Engineering, Al-Nahrain University , Baghdad 10072 , Iraq"}]},{"given":"Ilyas","family":"\u00c7ankaya","sequence":"additional","affiliation":[{"name":"Electrical and Electronics Engineering Department, Graduate School of Natural Science, Ankara Y\u0131ld\u0131r\u0131m Beyaz\u0131t University , 06010 Ankara , Turkey"}]}],"member":"374","published-online":{"date-parts":[[2022,6,28]]},"reference":[{"key":"2022081707553234347_j_comp-2022-0244_ref_001","doi-asserted-by":"crossref","unstructured":"H. K. Aljobouri. \u201cA virtual EMG signal control and analysis for optimal hardware design,\u201d Int. J. Online Biomed. Eng. (iJOE), vol. 18, no. 2. pp. 154\u2013166, Feb. 2022. 10.3991\/IJOE.V18I02.27047.","DOI":"10.3991\/ijoe.v18i02.27047"},{"key":"2022081707553234347_j_comp-2022-0244_ref_002","doi-asserted-by":"crossref","unstructured":"H. K. Aljobouri and F. E. Ali. \u201cBrain-Computer interface based on VEP and FMRI package,\u201d Am. J. Biomed. Sci., vol. 2019, no. 1. pp. 36\u201343, 2019. 10.5099\/aj190100036.","DOI":"10.5099\/aj190100036"},{"key":"2022081707553234347_j_comp-2022-0244_ref_003","unstructured":"N. Kumar, I. Ahmad, and D. P. Rai. \u201cSignal processing of ECG using matlab.\u201d 2012. Accessed: Apr. 07, 2019. [Online]. https:\/\/www.semanticscholar.org\/paper\/Signal-Processing-of-ECG-Using-Matlab-Kumar-Ahmad\/750aa9af65c578a1f02450b20214fb0b849569e1."},{"key":"2022081707553234347_j_comp-2022-0244_ref_004","doi-asserted-by":"crossref","unstructured":"H. K. Al-Jobouri. \u201cWireless bioinstruments for telecare,\u201d 2011 1st Middle East Conference on Biomedical Engineering, MECBME 2011, 2011, pp. 5\u201310. 10.1109\/MECBME.2011.5752052.","DOI":"10.1109\/MECBME.2011.5752052"},{"key":"2022081707553234347_j_comp-2022-0244_ref_005","unstructured":"S. Karpagachelvi, M. Arthanari, and M. Sivakumar. \u201cECG feature extraction techniques\u2009\u2013\u2009a survey approach,\u201d May 2010, Accessed: Apr. 07, 2019. [Online]. http:\/\/arxiv.org\/abs\/1005.0957."},{"key":"2022081707553234347_j_comp-2022-0244_ref_006","doi-asserted-by":"crossref","unstructured":"J. D. Bronzino. The Biomedical Engineering Handbook, CRC\/Taylor & Francis, UK, 2006.","DOI":"10.1201\/9781420003857"},{"key":"2022081707553234347_j_comp-2022-0244_ref_007","doi-asserted-by":"crossref","unstructured":"H. K. AL-Jobouri, I. Cankaya, and O. Karal. \u201cFrom biomedical signal processing techniques to fmri parcellation,\u201d Biosci. Biotechnol. Res. Asia, vol. 12, no. 2. pp. 1115\u20131138, 2015. 10.13005\/bbra\/1764.","DOI":"10.13005\/bbra\/1764"},{"key":"2022081707553234347_j_comp-2022-0244_ref_008","doi-asserted-by":"crossref","unstructured":"U. R. Acharya, J. S. Suri, J. A. E. Spaan, S. M. Krishnan, Eds. Advances in Cardiac Signal Processing, Berlin, Heidelberg, Springer Berlin Heidelberg, 2007. 10.1007\/978-3-540-36675-1","DOI":"10.1007\/978-3-540-36675-1"},{"key":"2022081707553234347_j_comp-2022-0244_ref_009","unstructured":"G. S. Wagner, and D. G. Strauss. Marriott\u2019s Practical Electrocardiography. LWW, UK, 2013."},{"key":"2022081707553234347_j_comp-2022-0244_ref_010","unstructured":"R. K. Hobbie, B. J. Bradley, and J. Roth. Intermediate Physics for Medicine and Biology, Springer, New York, NY, 2010."},{"key":"2022081707553234347_j_comp-2022-0244_ref_011","doi-asserted-by":"crossref","unstructured":"M. Ayala, M. Adjouadi, M. Cabrerizo, and A. Barreto. \u201cA Windows-based interface for teaching image processing,\u201d Computer Appl. Eng. Educ., vol. 18, no. 2, Jun. 2009. 10.1002\/cae.20171.","DOI":"10.1002\/cae.20171"},{"key":"2022081707553234347_j_comp-2022-0244_ref_012","doi-asserted-by":"crossref","unstructured":"R. Peredo, A. Canales, A. Menchaca, and I. Peredo. \u201cIntelligent Web-based education system for adaptive learning,\u201d Expert. Syst. Appl., vol. 38, no. 12. pp. 14690\u201314702, Nov. 2011. 10.1016\/J.ESWA.2011.05.013.","DOI":"10.1016\/j.eswa.2011.05.013"},{"key":"2022081707553234347_j_comp-2022-0244_ref_013","doi-asserted-by":"crossref","unstructured":"A. Canales, A. Pe\u00f1a, R. Peredo, H. Sossa, and A. Guti\u00e9rrez. \u201cAdaptive and intelligent web based education system: Towards an integral architecture and framework,\u201d Expert. Syst. Appl., vol. 33, no. 4. pp. 1076\u20131089, Nov. 2007. 10.1016\/J.ESWA.2006.08.034.","DOI":"10.1016\/j.eswa.2006.08.034"},{"key":"2022081707553234347_j_comp-2022-0244_ref_014","doi-asserted-by":"crossref","unstructured":"Y. Linn. \u201cAn ultra low cost wireless communications laboratory for education and research,\u201d IEEE Trans. Educ., vol. 55, no. 2. pp. 169\u2013179, May 2012. 10.1109\/TE.2011.2158318.","DOI":"10.1109\/TE.2011.2158318"},{"key":"2022081707553234347_j_comp-2022-0244_ref_015","doi-asserted-by":"crossref","unstructured":"J. F. Burke, E. Gnall, Z. Umrudden, M. Kyaw, and P. K. Schick. \u201cCritical analysis of a computer-assisted tutorial on ECG interpretation and its ability to determine competency,\u201d Med. Teach., vol.  30, no. 2. pp. e41\u2013e48, Jan. 2008. 10.1080\/01421590801972471.","DOI":"10.1080\/01421590801972471"},{"key":"2022081707553234347_j_comp-2022-0244_ref_016","unstructured":"Y. Lessard, J. P. Sinteff, P. Siregar, N. Julen, F. Hannouche, S. 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Illarramendi. \u201cWeb access to data in a mobile ECG monitoring system,\u201d Stud. health Technol. Inf., vol. 105, pp. 100\u201311, 2004. http:\/\/www.ncbi.nlm.nih.gov\/pubmed\/15718599."},{"key":"2022081707553234347_j_comp-2022-0244_ref_020","doi-asserted-by":"crossref","unstructured":"M. Nilsson, G. Bolinder, C. Held, B. -L. Johansson, U. Fors, and J. \u00d6stergren. \u201cEvaluation of a web-based ECG-interpretation programme for undergraduate medical students,\u201d BMC Med. Educ., vol. 8, no. 1. p. 25, Dec. 2008. 10.1186\/1472-6920-8-25.","DOI":"10.1186\/1472-6920-8-25"},{"key":"2022081707553234347_j_comp-2022-0244_ref_021","unstructured":"M. P. Shopov, N. R. Kakanakov, and G. V. Spasov. \u201cDistributed system for monitoring of physiological parameters in web-based personal health systems,\u201d 2009. Accessed: Apr. 08, 2019. [Online]. http:\/\/ecad.tu-sofia.bg\/et\/2009\/ET_2009\/AEM2009_1\/Electronic Medical Equipment\/35-Paper-G_Spasov.pdf."},{"key":"2022081707553234347_j_comp-2022-0244_ref_022","doi-asserted-by":"crossref","unstructured":"M. K. Islam, A. N. M. M. Haque, G. Tangim, T. Ahammad, and M. R. H. Khondokar. \u201cStudy and analysis of ECG signal using MATLAB & LABVIEW as effective tools,\u201d Int. J. Computer Electr. Eng., vol. 4, pp. 404\u2013408, 2012. 10.7763\/IJCEE.2012.V4.522.","DOI":"10.7763\/IJCEE.2012.V4.522"},{"key":"2022081707553234347_j_comp-2022-0244_ref_023","unstructured":"\u201cHealthFace: A web-based remote monitoring interface for medical healthcare systems based on a wireless body area sensor network \u02d9 Ismail KIRBAS\u00b81KIRBAS\u00b8KIRBAS\u00b81, C\u00fcneyt BAYILMIS\u00b82BAYILMIS\u00b8BAYILMIS\u00b82\u201d. 10.3906\/elk-1011-934."},{"key":"2022081707553234347_j_comp-2022-0244_ref_024","doi-asserted-by":"crossref","unstructured":"E. G\u00fcney, Z. Ek\u015fi, and M. \u00c7ak\u0131ro\u011flu. \u201cWebECG: A novel ECG simulator based on MATLAB Web Figure,\u201d Adv. Eng. Softw., vol. 45, no. 1. pp. 167\u2013174, Mar. 2012. 10.1016\/j.advengsoft.2011.09.005.","DOI":"10.1016\/j.advengsoft.2011.09.005"},{"key":"2022081707553234347_j_comp-2022-0244_ref_025","doi-asserted-by":"crossref","unstructured":"J. Granero-Molina, C. Fern\u00e1ndez-Sola, E. L\u00f3pez-Domene, J. M. Hern\u00e1ndez-Padilla, L. S. R. Preto, and A. M. Castro-S\u00e1nchez. \u201cEffects of web-based electrocardiography simulation on strategies and learning styles,\u201d Rev. da Esc. de. Enferm. da USP., vol. 49, no. 4. pp. 0650\u20130656, Aug. 2015. 10.1590\/S0080-623420150000400016.","DOI":"10.1590\/S0080-623420150000400016"},{"key":"2022081707553234347_j_comp-2022-0244_ref_026","doi-asserted-by":"crossref","unstructured":"H. AL-Ziarjawey. \u201cHeart rate monitoring and PQRST detection based on graphical user interface with matlab,\u201d Int. J. Inf. Electron. Eng., vol. 5, no. 4. pp. 311\u2013316, 2015. 10.7763\/IJIEE.2015.V5.550.","DOI":"10.7763\/IJIEE.2015.V5.550"},{"key":"2022081707553234347_j_comp-2022-0244_ref_027","doi-asserted-by":"crossref","unstructured":"O. Y. Ogundepo and A. A. Ponnle. \u201cDevelopment of a computer-aided application for analyzing ECG signals and detection of cardiac arrhythmia using back propagation neural network\u2009\u2013\u2009Part II: GUI development,\u201d Int. J. Appl. Inf. Syst., vol. 9, no. 3. pp. 26\u201336, Jun. 2015. 10.5120\/ijais15-451379.","DOI":"10.5120\/ijais15-451379"},{"key":"2022081707553234347_j_comp-2022-0244_ref_028","unstructured":"\u201cPhysioBank Databases.\u201d https:\/\/physionet.org\/physiobank\/database\/. (Accessed Apr. 08, 2019)."},{"key":"2022081707553234347_j_comp-2022-0244_ref_029","unstructured":"\u201cMATLAB \u00ae CompilerTM User\u2019s Guide R2013b,\u201d 1995. Accessed: Apr. 08, 2019. 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