Výsledky vyhledávání - "S. M. Narayan"

Spatiotemporal signatures of response to atrial fibrillation ablation

Autor: P Ganesan, A J Rogers, B Deb, R Feng, M Rodrigo, S Ruiperez-Campillo, F V Tjong, N Bhatia, P Clopton, W J Rappel, S M Narayan

Publikováno v: European Heart Journal. 43

Background Atrial fibrillation (AF) can have organized regions, in the form of consistent dominant frequency sites, focal or reentrant sites, but it is unclear how these overlap with or differ from focal atrial tachycardias (AT) or potential drivers.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::81138a57b1f910f6ca36a3c244e54fa0
https://doi.org/10.1093/eurheartj/ehac544.601

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Artificial intelligence to reduce artifact in cardiac electrophysiological signals

Autor: S Ruiperez-Campillo, B Deb, R Feng, P Ganesan, F V Y Tjong, P Clopton, A J Rogers, S M Narayan

Publikováno v: European Heart Journal. 43

Background/Introduction Signals in Electrophysiology cases are often noisy despite laboratory shielding and filtering, and current noise-reduction methods are suboptimal. Template matching can identify a “nearest type” of electrogram, but librari

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8b5d997d0cda7f6aa9924fa214f58bbc
https://doi.org/10.1093/eurheartj/ehac544.422

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Reduction of artifacts and noise in small electrogram datasets without manual annotation using transfer machine learning

Autor: S Ruiperez-Campillo, B Deb, R Feng, P Ganesan, F V Y Tjong, P Clopton, A J Rogers, S M Narayan

Publikováno v: European Heart Journal. 43

Background/Introduction Mapping AF is challenging. Monophasic action potentials (MAPs) show that most of the recorded signals are not representing the atrial activity, and arise from far-field or other artifacts. Thus, reducing noise in electrophysio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::140b55c291fad14041b2b842eca501c9
https://doi.org/10.1093/eurheartj/ehac544.2976

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Automatic left atrial segmentation from cardiac CT using computer graphics imaging and deep learning

Autor: R Feng, B Deb, P Ganesan, A J Rogers, S Ruiperez-Campillo, P Clopton, F V Tjong, H J Chang, M Rodrigo, M Zaharia, S M Narayan

Publikováno v: European Heart Journal. 43

Introduction Segmenting left atrial (LA) substructures, including the LA body, appendage (LAA), and pulmonary veins (PVs), from computed tomography (CT) is central to electroanatomic mapping for ablation and functional studies in patients with atrial

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6e660d9fabf45c71d4bf999b06e7034c
https://doi.org/10.1093/eurheartj/ehac544.472

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Novel electrogram featurization reveals a spectrum of response to ablation from atrial tachycardia to types of atrial fibrillation

Autor: P Ganesan, A J Rogers, B Deb, R Feng, S Ruiperez-Campillo, F V Tjong, N Bhatia, P Clopton, W J Rappel, S M Narayan

Publikováno v: European Heart Journal. 43

Background Although atrial tachycardia (AT) may interconvert with fibrillation (AF) in many patients, it is undefined if this represents a pathophysiological spectrum of organization, or whether it indicates that AF will respond better to ablation. O

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6c2a5f6d703ac3b473c927c8ee481e84
https://doi.org/10.1093/eurheartj/ehac544.471

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Machine learned clusters explain heterogeneity in outcomes from map-guided ablation of Atrial Fibrillation results from the large PROspective STanford AF Registry (ProSTAR)

Autor: B Deb, A J Rogers, N K Bhatia, T Baykaner, M Turakhia, P L Clopton, H J Chang, C Brodt, S M Narayan, P J Wang, M N Viswanathan

Publikováno v: European Heart Journal. 43

Background Several mapping systems are being introduced to guide atrial fibrillation (AF) ablation to patient-specific regions of interest. However, results have been extremely heterogeneous between studies, ranging from very poor to very promising.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::63f14494f7cfc075e930afa929d68dbe
https://doi.org/10.1093/eurheartj/ehac544.474

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Clinical phenotyping of implantable cardioverter defibrillator patients to identify the association of remote device monitoring on survival benefit: a cluster analysis

Autor: M Z H Kolk, B Deb, S Ruiperez-Campillo, S M Narayan, R E Knops, F V Y Tjong

Publikováno v: European Heart Journal. 43

Background/Introduction Over the past decade, various studies have demonstrated an association between remote device monitoring (RM) in implantable cardioverter-defibrillator (ICD) patients and all-cause mortality. However, it is unclear which clinic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::61636157927da26701693b98d9faf0fb
https://doi.org/10.1093/eurheartj/ehac544.738

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Identifying Patients at High Risk for Sudden Cardiac Death: Is Low Ejection Fraction Alone Enough, or Do We Need Additional Testing?

Autor: M. E. Cain, S. M. Narayan

Publikováno v: Cardiac Arrhythmias 2003 ISBN: 9788847021778

Sudden cardiac death (SCD) from ventricular tachycardia (VT) or ventricular fibrillation (VF) remains a major cause of mortality in the U.S. and Western Europe, and claims 2–3 lives per 100,000 per year [1, 2]. The incidence of SCD has not declined

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1ee10be69083dd4639a73e5f5d49f056
https://doi.org/10.1007/978-88-470-2137-2_51

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