Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Jonathan W, Waks"'
Autor:
Juliana Pérez-Pinzón, MD, Jonathan W. Waks, MD, Don Yungher, PhD, Abigail Reynolds, BA BE, Timothy Maher, MD, Andrew H. Locke, MD, Andre d'Avila, MD, Patricia Tung, MD, MPH
Publikováno v:
Heart Rhythm O2, Vol 5, Iss 10, Pp 713-719 (2024)
Background: Pulmonary vein isolation (PVI) is superior to antiarrhythmics for the management of atrial fibrillation, but repeat ablation is often required for durable rhythm control. Factors influencing first-pass isolation (FPI) and whether FPI pred
Externí odkaz:
https://doaj.org/article/1f59e889b5b84b8dbd179161d09de784
Autor:
Libor Pastika, Arunashis Sau, Konstantinos Patlatzoglou, Ewa Sieliwonczyk, Antônio H. Ribeiro, Kathryn A. McGurk, Sadia Khan, Danilo Mandic, William R. Scott, James S. Ware, Nicholas S. Peters, Antonio Luiz P. Ribeiro, Daniel B. Kramer, Jonathan W. Waks, Fu Siong Ng
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-16 (2024)
Abstract The electrocardiogram (ECG) can capture obesity-related cardiac changes. Artificial intelligence-enhanced ECG (AI-ECG) can identify subclinical disease. We trained an AI-ECG model to predict body mass index (BMI) from the ECG alone. Develope
Externí odkaz:
https://doaj.org/article/9f47d99e612f4498bb4017febf439586
Autor:
Huiyi Wu, Kiran Haresh Kumar Patel, Xinyang Li, Bowen Zhang, Christoforos Galazis, Nikesh Bajaj, Arunashis Sau, Xili Shi, Lin Sun, Yanda Tao, Harith Al-Qaysi, Lawrence Tarusan, Najira Yasmin, Natasha Grewal, Gaurika Kapoor, Jonathan W. Waks, Daniel B. Kramer, Nicholas S. Peters, Fu Siong Ng
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract There is increasing focus on applying deep learning methods to electrocardiograms (ECGs), with recent studies showing that neural networks (NNs) can predict future heart failure or atrial fibrillation from the ECG alone. However, large numbe
Externí odkaz:
https://doaj.org/article/ccbcc64d51d940a7ac5355493bb20c5d
Autor:
Hans Friedrich Stabenau, Mason Marcus, Jason D. Matos, Ian McCormick, Diana Litmanovich, Warren J. Manning, Brett J. Carroll, Jonathan W. Waks
Publikováno v:
Annals of Noninvasive Electrocardiology, Vol 28, Iss 3, Pp n/a-n/a (2023)
Abstract Background The spatial ventricular gradient (SVG) is a vectorcardiographic measurement that reflects cardiac loading conditions via electromechanical coupling. Objectives We hypothesized that the SVG is correlated with right ventricular (RV)
Externí odkaz:
https://doaj.org/article/18231d52a8064fb6827ee0d359538641
Autor:
Rebecca K. Angoff, MD, Jonathan W. Waks, MD, Michael C. Gavin, MD, MPH, Hans F. Stabenau, MD, Jordan B. Strom, MD, MSc
Publikováno v:
JACC: Case Reports, Vol 11, Iss , Pp 101788- (2023)
We report a case of a 70-year-old woman who presented for a cavotricuspid isthmus atrial flutter ablation that was aborted prematurely. On subsequent imaging, she was discovered to have a right atrial diverticulum, which was present on prior imaging
Externí odkaz:
https://doaj.org/article/791cff5d7d3d45c4adb4e8a01246130a
Autor:
Patricia Tung, MD, Jonathan W. Waks, MD, Sankalp Sehgal, MD, Alfred E. Buxton, MD, Andre D’Avila, MD
Publikováno v:
Heart Rhythm O2, Vol 2, Iss 4, Pp 341-346 (2021)
Background: High-frequency jet ventilation (HFJV) is used during pulmonary vein isolation (PVI) to increase catheter stability and improve outcomes. In prior studies, hemodynamic intolerance to HFJV was rare. Objectives: To evaluate the incidence of
Externí odkaz:
https://doaj.org/article/e56f1e5c80864275a3b3c15385b7c51a
BRAVEHEART: Open-source software for automated electrocardiographic and vectorcardiographic analysis
Background and ObjectivesElectrocardiographic (ECG) and vectorcardiographic (VCG) analyses are used to diagnose current cardiovascular disease and for risk stratification for future adverse cardiovascular events. With increasing use of digital ECGs,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c937a84887b1898938d09457f329da2
https://doi.org/10.1101/2023.05.17.23290060
https://doi.org/10.1101/2023.05.17.23290060
Publikováno v:
HeartRhythm Case Reports.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b8bb27bd479416d3f779218e6593abf
https://doi.org/10.1016/j.hrcr.2023.04.014
https://doi.org/10.1016/j.hrcr.2023.04.014
Autor:
Guilherme L. Fialho, Bruce D. Nearing, Jonathan W. Waks, Timothy R. Maher, John-Ross Clarke, Alyssa Shepherd, Andre D’Avila, Richard L. Verrier
Publikováno v:
Journal of Interventional Cardiac Electrophysiology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2954ac5e8f05ffa41b4582a806d08e93
https://doi.org/10.1007/s10840-023-01543-7
https://doi.org/10.1007/s10840-023-01543-7
Autor:
Arunashis Sau, Safi Ibrahim, Daniel B. Kramer, Jonathan W. Waks, Norman Qureshi, Michael Koa-Wing, Daniel Keene, Louisa Malcolme-Lawes, David C. Lefroy, Nicholas W.F. Linton, Phang Boon Lim, Amanda Varnava, Zachary I. Whinnett, Prapa Kanagaratnam, Danilo Mandic, Nicholas S. Peters, Fu Siong Ng
Publikováno v:
Cardiovasc Digit Health J
BACKGROUND: Accurately determining arrhythmia mechanism from a 12-lead electrocardiogram (ECG) of supraventricular tachycardia can be challenging. We hypothesized a convolutional neural network (CNN) can be trained to classify atrioventricular re-ent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b3c6a7b05eaf18ae982e41e0c4ae5b8
http://hdl.handle.net/10044/1/102823
http://hdl.handle.net/10044/1/102823