{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T14:36:12Z","timestamp":1786977372605,"version":"build-2736575974"},"reference-count":14,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2009,2,4]],"date-time":"2009-02-04T00:00:00Z","timestamp":1233705600000},"content-version":"vor","delay-in-days":5117,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Clinical Cardiology"],"published-print":{"date-parts":[[1995,2]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>This study presents a comparison of three different methods for differentiating between supraventricular and ventricular tachycardias with wide\u2010QRS complex. One set of criteria, derived using classical statistical techniques, was compared with two new self\u2010learning computer techniques: the artificial neural networks and the induction algorithm approach. By analyzing the results obtained in an independent test set, using these new techniques, the criteria defined by the classical method could be improved.<\/jats:p>","DOI":"10.1002\/clc.4960180213","type":"journal-article","created":{"date-parts":[[2009,2,4]],"date-time":"2009-02-04T02:17:04Z","timestamp":1233713824000},"page":"103-108","source":"Crossref","is-referenced-by-count":9,"title":["Evaluation of new self\u2010learning techniques for the generation of criteria for differentiation of wide\u2010QRS tachycardia in supraventricular tachycardia and ventricular tachycardia"],"prefix":"10.1002","volume":"18","author":[{"given":"Willem R.M.","family":"Dassen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rob G.A.","family":"Mulleneers","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joep L.R.M.","family":"Smeets","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hein J.J.","family":"Wellens","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vincent L.J.","family":"Karthaus","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jan L.","family":"Talmon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2009,2,4]]},"reference":[{"key":"e_1_2_1_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/0002-9343(78)90176-6"},{"key":"e_1_2_1_3_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-009-8239-0_11"},{"key":"e_1_2_1_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0033-0620(66)80019-1"},{"key":"e_1_2_1_5_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.CIR.31.4.551"},{"key":"e_1_2_1_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0033-0620(66)80018-X"},{"key":"e_1_2_1_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/0002-9149(88)91169-1"},{"key":"e_1_2_1_8_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.CIR.83.5.1649"},{"key":"e_1_2_1_9_2","first-page":"61","article-title":"Artificial neural networks and ECG interpretation: Use and abuse","volume":"26","author":"Dassen WRM","year":"1993","journal-title":"J Electrocardiol"},{"key":"e_1_2_1_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/0022-0736(92)90001-G"},{"key":"e_1_2_1_11_2","first-page":"351","article-title":"Neural networks for classification of ECG morphology","volume":"12","author":"Edenbrandt L","year":"1992","journal-title":"Clin Physiol"},{"key":"e_1_2_1_12_2","first-page":"75","article-title":"Diagnostic ECG classification based on neural networks","volume":"26","author":"Bortolan G","year":"1993","journal-title":"J Electrocardiol"},{"key":"e_1_2_1_13_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1540-8159.1990.tb06892.x"},{"key":"e_1_2_1_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/0167-8655(86)90070-X"},{"key":"e_1_2_1_15_2","first-page":"337","article-title":"Further improvement of classical criteria for differentiation of wide\u2010QRS tachycardias in SVT and VT using artificial neural network techniques","volume":"19","author":"Dassen WRM","year":"1993","journal-title":"Comput Cardiol"}],"container-title":["Clinical Cardiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1002%2Fclc.4960180213","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/clc.4960180213","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,25]],"date-time":"2023-10-25T09:00:47Z","timestamp":1698224447000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/clc.4960180213"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1995,2]]},"references-count":14,"journal-issue":{"issue":"2","published-print":{"date-parts":[[1995,2]]}},"alternative-id":["10.1002\/clc.4960180213"],"URL":"https:\/\/doi.org\/10.1002\/clc.4960180213","archive":["Portico"],"relation":{},"ISSN":["0160-9289","1932-8737"],"issn-type":[{"value":"0160-9289","type":"print"},{"value":"1932-8737","type":"electronic"}],"subject":[],"published":{"date-parts":[[1995,2]]}}}