{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T19:30:03Z","timestamp":1791401403368,"version":"4.3.3"},"reference-count":45,"publisher":"Wiley","issue":"12","license":[{"start":{"date-parts":[[2014,10,22]],"date-time":"2014-10-22T00:00:00Z","timestamp":1413936000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100009629","name":"Fondazione Cassa di Risparmio di Trento e Rovereto","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100009629","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Numer Methods Biomed Eng"],"published-print":{"date-parts":[[2014,12]]},"abstract":"<jats:title>SUMMARY<\/jats:title><jats:p>To properly describe the electrical activity of the left ventricle, it is necessary to model the Purkinje fibers, responsible for the fast and coordinate ventricular activation, and their interaction with the muscular propagation. The aim of this work is to propose a methodology for the generation of a patient\u2010specific Purkinje network driven by clinical measurements of the activation times related to pathological propagations. In this case, one needs to consider a strongly coupled problem between the network and the muscle, where the feedback from the latter to the former cannot be neglected as in a normal propagation. We apply the proposed strategy to data acquired on three subjects, one of them suffering from muscular conduction problems owing to a scar and the other two with a muscular pre\u2010excitation syndrome (Wolff\u2013Parkinson\u2013White). To assess the accuracy of the proposed method, we compare the results obtained by using the patient\u2010specific Purkinje network generated by our strategy with the ones obtained by using a non\u2010patient\u2010specific network. The results show that the mean absolute errors in the activation time is reduced for all the cases, highlighting the importance of including a patient\u2010specific Purkinje network in computational models. Copyright \u00a9 2014 John Wiley &amp; Sons, Ltd.<\/jats:p>","DOI":"10.1002\/cnm.2689","type":"journal-article","created":{"date-parts":[[2014,10,15]],"date-time":"2014-10-15T16:47:16Z","timestamp":1413391636000},"page":"1558-1577","source":"Crossref","is-referenced-by-count":25,"title":["Computational generation of the Purkinje network driven by clinical measurements: The case of pathological propagations"],"prefix":"10.1002","volume":"30","author":[{"given":"Simone","family":"Palamara","sequence":"first","affiliation":[{"name":"Modellistica e Calcolo Scientifico (MOX), Dipartimento di Matematica Politecnico di Milano  Milan Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christian","family":"Vergara","sequence":"additional","affiliation":[{"name":"Dipartimento di Ingegneria Gestionale, dell'Informazione e della Produzione Universit\u00e0 di Bergamo  Dalmine, BG Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Domenico","family":"Catanzariti","sequence":"additional","affiliation":[{"name":"Divisione di Cardiologia Ospedale S. 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