Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Rutger R van de Leur"'
Autor:
Alejandra Zepeda-Echavarria, Niek C. M. Ratering Arntz, Albert H. Westra, Leonard J. van Schelven, Froukje E. Euwe, Herke Jan Noordmans, Melle Vessies, Rutger R. van de Leur, Rutger J. Hassink, Thierry X. Wildbergh, Rien van der Zee, Pieter A. Doevendans, René van Es, Joris E. N. Jaspers
Publikováno v:
Frontiers in Digital Health, Vol 6 (2024)
Cardiovascular diseases (CVDs) are a global burden that requires attention. For the detection and diagnosis of CVDs, the 12-lead ECG is a key tool. With technological advancements, ECG devices are becoming smaller and available for home use. Most of
Externí odkaz:
https://doaj.org/article/fe9fbbffdbda4b429024c28947c16e3f
Autor:
Alejandra Zepeda-Echavarria, Rutger R van de Leur, Meike van Sleuwen, Rutger J Hassink, Thierry X Wildbergh, Pieter A Doevendans, Joris Jaspers, René van Es
Publikováno v:
JMIR Cardio, Vol 7, p e44003 (2023)
BackgroundElectrocardiograms (ECGs) are used by physicians to record, monitor, and diagnose the electrical activity of the heart. Recent technological advances have allowed ECG devices to move out of the clinic and into the home environment. There is
Externí odkaz:
https://doaj.org/article/b4e1e1c5b38e48c690a9fadefdfd4cc7
Autor:
Michiel T. H. M. Henkens, Helena López Martínez, Jerremy Weerts, Arjan Sammani, Anne G. Raafs, Job A. J. Verdonschot, Rutger R. van de Leur, Maurits A. Sikking, Sophia Stroeks, Vanessa P. M. van Empel, Hans‐Peter Brunner‐La Rocca, Antonius M. W. van Stipdonk, Dimitrios Farmakis, Mark R. Hazebroek, Kevin Vernooy, Antoni Bayés‐de‐Luna, Folkert W. Asselbergs, Antoni Bayés‐Genís, Stephane R. B. Heymans
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 11, Iss 14 (2022)
Background Interatrial block (IAB) has been associated with supraventricular arrhythmias and stroke, and even with sudden cardiac death in the general population. Whether IAB is associated with life‐threatening arrhythmias (LTA) and sudden cardiac
Externí odkaz:
https://doaj.org/article/cb4fdebc7223417d8eb115fbd394b9be
Autor:
Rutger R van de Leur, Machteld J Boonstra, Ayoub Bagheri, Rob W Roudijk, Arjan Sammani, Karim Taha, Pieter AFM Doevendans, Pim van der Harst, Peter M van Dam, Rutger J Hassink, René van Es, Folkert W Asselbergs
Publikováno v:
Arrhythmia & Electrophysiology Review, Vol 9, Iss 3, Pp 146-154 (2020)
Externí odkaz:
https://doaj.org/article/50181f9e397e426c8a95a75341e0b1f9
Autor:
Joost D. J. Plate, Rutger R. van de Leur, Luke P. H. Leenen, Falco Hietbrink, Linda M. Peelen, M. J. C. Eijkemans
Publikováno v:
BMC Medical Research Methodology, Vol 19, Iss 1, Pp 1-11 (2019)
Abstract Background The incorporation of repeated measurements into multivariable prediction research may greatly enhance predictive performance. However, the methodological possibilities vary widely and a structured overview of the possible and util
Externí odkaz:
https://doaj.org/article/b88d80510a68469b9bf54520089bdbd0
Autor:
Rutger R. van de Leur, Lennart J. Blom, Efstratios Gavves, Irene E. Hof, Jeroen F. van der Heijden, Nick C. Clappers, Pieter A. Doevendans, Rutger J. Hassink, René van Es
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 9, Iss 10 (2020)
BACKGROUND The correct interpretation of the ECG is pivotal for the accurate diagnosis of many cardiac abnormalities, and conventional computerized interpretation has not been able to reach physician‐level accuracy in detecting (acute) cardiac abno
Externí odkaz:
https://doaj.org/article/7eaa75d0678446779848a638bc63abab
Autor:
Philippe C Wouters, Rutger R van de Leur, Melle B Vessies, Antonius M W van Stipdonk, Mohammed A Ghossein, Rutger J Hassink, Pieter A Doevendans, Pim van der Harst, Alexander H Maass, Frits W Prinzen, Kevin Vernooy, Mathias Meine, René van Es
Publikováno v:
European Heart Journal, 44(8). Oxford University Press
AimsThis study aims to identify and visualize electrocardiogram (ECG) features using an explainable deep learning–based algorithm to predict cardiac resynchronization therapy (CRT) outcome. Its performance is compared with current guideline ECG cri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::052a3ced9cd8b54aec12dddfe169c069
https://doi.org/10.1093/eurheartj/ehac617
https://doi.org/10.1093/eurheartj/ehac617
Autor:
Alejandra Zepeda-Echavarria, Rutger R. van de Leur, Meike van Sleuwen, Rutger J. Hassink, Thierry X. Wildbergh, Pieter A. Doevendans, Joris Jaspers, René van Es
BACKGROUND Electrocardiograms (ECG) are used by physicians to record, monitor and diagnose the electrical activity of the heart. Recent technological advances have allowed ECG devices to move out of the clinic to the home environment. There is a grea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7843940e80ee4e505b04c489e2edb16
https://doi.org/10.2196/preprints.44003
https://doi.org/10.2196/preprints.44003
Autor:
Rutger R van de Leur, Max N Bos, Karim Taha, Arjan Sammani, Ming Wai Yeung, Stefan van Duijvenboden, Pier D Lambiase, Rutger J Hassink, Pim van der Harst, Pieter A Doevendans, Deepak K Gupta, René van Es
Publikováno v:
European Heart Journal-Digital Health, 3(3). Oxford University Press
Aims Deep neural networks (DNNs) perform excellently in interpreting electrocardiograms (ECGs), both for conventional ECG interpretation and for novel applications such as detection of reduced ejection fraction (EF). Despite these promising developme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b3a36505ce04c0958850d40785c63fd
https://doi.org/10.1093/ehjdh/ztac038
https://doi.org/10.1093/ehjdh/ztac038
Autor:
Rutger J. Hassink, Pieter A. Doevendans, Rutger R. van de Leur, René van Es, Jeroen F Vranken, Sadaf Gulshad, Luis E Juarez Orozco, Deepak K. Gupta, Pim van der Harst
Publikováno v:
European Heart Journal - Digital Health. 2:401-415
Aims Automated interpretation of electrocardiograms (ECGs) using deep neural networks (DNNs) has gained much attention recently. While the initial results have been encouraging, limited attention has been paid to whether such results can be trusted,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7bea5bd6d4c4d2d9abf020178564b1e
https://doi.org/10.1093/ehjdh/ztab045
https://doi.org/10.1093/ehjdh/ztab045