{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T23:55:26Z","timestamp":1767311726357,"version":"3.48.0"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032112323","type":"print"},{"value":"9783032112330","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-11233-0_5","type":"book-chapter","created":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T23:53:11Z","timestamp":1767311591000},"page":"54-67","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["ECGTwinMentor: Enhancing Cardiology Education in\u00a0ECG with\u00a0Digital Twins"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2554-2194","authenticated-orcid":false,"given":"Daniel","family":"Flores-Martin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4930-4780","authenticated-orcid":false,"given":"Francisco","family":"D\u00edaz-Barrancas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1603-9052","authenticated-orcid":false,"given":"Pedro J.","family":"Pardo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1007-2134","authenticated-orcid":false,"given":"Javier","family":"Berrocal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4961-4030","authenticated-orcid":false,"given":"Juan M.","family":"Murillo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,1,2]]},"reference":[{"key":"5_CR1","doi-asserted-by":"crossref","unstructured":"Alazab, M., et\u00a0al.: Digital twins for healthcare 4.0\u2014recent advances, architecture, and open challenges. IEEE Consum. Electron. Maga. 12(6), 29\u201337 (2022)","DOI":"10.1109\/MCE.2022.3208986"},{"key":"5_CR2","doi-asserted-by":"crossref","unstructured":"Ali, O.M.A., Kareem, S.W., Mohammed, A.S.: Evaluation of electrocardiogram signals classification using CNN, SVM, and LSTM algorithm: a review. In: 2022 8th International Engineering Conference on Sustainable Technology and Development (IEC), pp. 185\u2013191. IEEE (2022)","DOI":"10.1109\/IEC54822.2022.9807511"},{"key":"5_CR3","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1016\/j.jelectrocard.2019.03.010","volume":"73","author":"C Breen","year":"2022","unstructured":"Breen, C., Kelly, G., Kernohan, W.: ECG interpretation skill acquisition: a review of learning, teaching and assessment. J. Electrocardiol. 73, 125\u2013128 (2022)","journal-title":"J. Electrocardiol."},{"key":"5_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.caeai.2022.100118","volume":"4","author":"TK Chiu","year":"2023","unstructured":"Chiu, T.K., Xia, Q., Zhou, X., Chai, C.S., Cheng, M.: Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education. Comput. Educ. Artif. Intell. 4, 100118 (2023)","journal-title":"Comput. Educ. Artif. Intell."},{"key":"5_CR5","doi-asserted-by":"crossref","unstructured":"Cluitmans, M.J., Plank, G., Heijman, J.: Digital twins for cardiac electrophysiology: state of the art and future challenges. Herzschrittmachertherapie+ Elektrophysiologie 35(2), 118\u2013123 (2024)","DOI":"10.1007\/s00399-024-01014-0"},{"key":"5_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.softx.2024.101885","volume":"28","author":"D Flores-Martin","year":"2024","unstructured":"Flores-Martin, D., Laso, S., Berrocal, J., Murillo, J.M.: Towards digital health: integrating federated learning and crowdsensing through the contigo app. SoftwareX 28, 101885 (2024)","journal-title":"SoftwareX"},{"key":"5_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.nedt.2021.105182","volume":"108","author":"Y Ko","year":"2022","unstructured":"Ko, Y., Issenberg, S.B., Roh, Y.S.: Effects of peer learning on nursing students\u2019 learning outcomes in electrocardiogram education. Nurse Educ. Today 108, 105182 (2022)","journal-title":"Nurse Educ. Today"},{"key":"5_CR8","doi-asserted-by":"crossref","unstructured":"Park, J., et al.: Study on the use of standard 12-lead ECG data for rhythm-type ECG classification problems. Comput. Methods Prog. Biomed. 214, 106521 (2022)","DOI":"10.1016\/j.cmpb.2021.106521"},{"issue":"10","key":"5_CR9","doi-asserted-by":"publisher","first-page":"6663","DOI":"10.1109\/TII.2022.3159583","volume":"18","author":"W Qi","year":"2022","unstructured":"Qi, W., Su, H.: A cybertwin based multimodal network for ECG patterns monitoring using deep learning. IEEE Trans. Ind. Inf. 18(10), 6663\u20136670 (2022)","journal-title":"IEEE Trans. Ind. Inf."},{"issue":"4","key":"5_CR10","doi-asserted-by":"publisher","first-page":"505","DOI":"10.3390\/hearts2040039","volume":"2","author":"N Rafie","year":"2021","unstructured":"Rafie, N., Kashou, A.H., Noseworthy, P.A.: ECG interpretation: clinical relevance, challenges, and advances. Hearts 2(4), 505\u2013513 (2021)","journal-title":"Hearts"},{"issue":"6","key":"5_CR11","doi-asserted-by":"publisher","first-page":"914","DOI":"10.1016\/j.jelectrocard.2014.07.022","volume":"47","author":"PR Rijnbeek","year":"2014","unstructured":"Rijnbeek, P.R., et al.: Normal values of the electrocardiogram for ages 16\u201390 years. J. Electrocardiol. 47(6), 914\u2013921 (2014)","journal-title":"J. Electrocardiol."},{"issue":"5","key":"5_CR12","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6579\/ad4954","volume":"45","author":"KK Shivashankara","year":"2024","unstructured":"Shivashankara, K.K., Shervedani, A.M., Clifford, G.D., Reyna, M.A., Sameni, R., et al.: ECG-image-kit: a synthetic image generation toolbox to facilitate deep learning-based electrocardiogram digitization. Physiol. Meas. 45(5), 055019 (2024)","journal-title":"Physiol. Meas."},{"issue":"7","key":"5_CR13","doi-asserted-by":"publisher","first-page":"465","DOI":"10.1038\/s41569-020-00503-2","volume":"18","author":"KC Siontis","year":"2021","unstructured":"Siontis, K.C., Noseworthy, P.A., Attia, Z.I., Friedman, P.A.: Artificial intelligence-enhanced electrocardiography in cardiovascular disease management. Nat. Rev. Cardiol. 18(7), 465\u2013478 (2021)","journal-title":"Nat. Rev. Cardiol."},{"issue":"8","key":"5_CR14","doi-asserted-by":"publisher","first-page":"1179","DOI":"10.1093\/europace\/euaa377","volume":"23","author":"S Somani","year":"2021","unstructured":"Somani, S., et al.: Deep learning and the electrocardiogram: review of the current state-of-the-art. EP Europace 23(8), 1179\u20131191 (2021)","journal-title":"EP Europace"},{"issue":"11","key":"5_CR15","doi-asserted-by":"publisher","first-page":"1103","DOI":"10.3390\/diagnostics14111103","volume":"14","author":"E Stamate","year":"2024","unstructured":"Stamate, E., et al.: Revolutionizing cardiology through artificial intelligence\u2013big data from proactive prevention to precise diagnostics and cutting-edge treatment\u2013a comprehensive review of the past 5 years. Diagnostics 14(11), 1103 (2024)","journal-title":"Diagnostics"},{"issue":"1","key":"5_CR16","doi-asserted-by":"publisher","first-page":"987","DOI":"10.1186\/s12909-023-04983-x","volume":"23","author":"H Wen","year":"2023","unstructured":"Wen, H., et al.: Application of the BOPPPS-CBL model in electrocardiogram teaching for nursing students: a randomized comparison. BMC Med. Educ. 23(1), 987 (2023)","journal-title":"BMC Med. Educ."},{"issue":"1","key":"5_CR17","doi-asserted-by":"publisher","first-page":"20963","DOI":"10.1038\/s41598-022-25284-1","volume":"12","author":"H Wu","year":"2022","unstructured":"Wu, H., et al.: A fully-automated paper ECG digitisation algorithm using deep learning. Sci. Rep. 12(1), 20963 (2022)","journal-title":"Sci. Rep."}],"container-title":["Communications in Computer and Information Science","The Inclusive Web: Realizing Safe, Accessible, Inclusive, and Sustainable Web Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-11233-0_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T23:53:13Z","timestamp":1767311593000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-11233-0_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032112323","9783032112330"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-11233-0_5","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"2 January 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICWE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Web Engineering","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Delft","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"The Netherlands","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 June 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 July 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icwe2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icwe2025.webengineering.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}