Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Jakub Hejc"'
Autor:
Marina Ronzhina, Veronika Olejnickova, Tibor Stracina, Marie Novakova, Oto Janousek, Jakub Hejc, Jana Kolarova, Miroslava Hlavacova, Hana Paulova
Publikováno v:
BMC Cardiovascular Disorders, Vol 17, Iss 1, Pp 1-11 (2017)
Abstract Background Detailed quantitative analysis of the effect of left ventricle (LV) hypertrophy on myocardial ischemia manifestation in ECG is still missing. The associations between both phenomena can be studied in animal models. In this study,
Externí odkaz:
https://doaj.org/article/c90a98aa67d84edba9bd4590d9869d0f
Autor:
Frantisek Lehar, Nándor Szegedi, Jakub Hejc, Jiri Jez, Filip Soucek, Tomas Kulik, Anna Siruckova, Zoltan Sallo, Klaudia Vivien Nagy, Bela Merkely, László Geller, Zdeněk Starek
Publikováno v:
EP Europace. 24:1636-1644
Aims Interventional cardiology procedures may expose patients and staff to considerable radiation doses. We aimed to assess whether exposure to ionizing radiation during catheter ablation of supraventricular tachycardia (SVT) can be completely avoide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fff67d513b7242f43d3f585ad41023ba
https://doi.org/10.1093/europace/euac049
https://doi.org/10.1093/europace/euac049
Publikováno v:
Computing in Cardiology Conference (CinC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bdd31c89069272e891b3d36f765c8c9
https://doi.org/10.22489/cinc.2022.039
https://doi.org/10.22489/cinc.2022.039
Publikováno v:
Computing in Cardiology Conference (CinC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0226e42f7c0be99bab4625ec4cf32b06
https://doi.org/10.22489/cinc.2022.106
https://doi.org/10.22489/cinc.2022.106
Publikováno v:
2021 Computing in Cardiology (CinC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ba9f1752b6c1fc3622ee998530563cf
https://doi.org/10.23919/cinc53138.2021.9662806
https://doi.org/10.23919/cinc53138.2021.9662806
Autor:
Jakub Hejc, David Pospisil, Petra Novotna, Martin Pesl, Oto Janousek, Marina Ronzhina, Zdenek Starek
Publikováno v:
2021 Computing in Cardiology (CinC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::627c3902cad454efef75d5c51041ac8e
https://doi.org/10.23919/cinc53138.2021.9662729
https://doi.org/10.23919/cinc53138.2021.9662729
Publikováno v:
2021 Computing in Cardiology (CinC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1047ff8f8dd399916e35c0a19f13cf15
https://doi.org/10.23919/cinc53138.2021.9662903
https://doi.org/10.23919/cinc53138.2021.9662903
Autor:
Martin Pesl, Jakub Hejc, Tomas Kulik, Tomas Vicar, Petra Novotna, Marina Ronzhina, Juraj Jakubik, Pavel Leinveber, Juan Pablo Gonzalez Rivas, Zdenek Starek
Publikováno v:
2021 Computing in Cardiology (CinC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebf6397237c65de1ac92b9020b6d9159
https://doi.org/10.23919/cinc53138.2021.9662699
https://doi.org/10.23919/cinc53138.2021.9662699
Publikováno v:
CinC
Since common electrocardiography (ECG) diagnostics approaches are time-consuming and arrhythmia-type sensitive, deep-learning methods are state-of-the-art for their detection accuracy. However, premature ventricular contractions' (PVC) localization v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::870078298a9adafef32377ff03bfb402
https://doi.org/10.22489/cinc.2020.193
https://doi.org/10.22489/cinc.2020.193
Publikováno v:
CinC
The latest trends in clinical care and telemedicine suggest a demand for a reliable automated electrocardiogram (ECG) signal classification methods. In this paper, we present customized deep learning model for ECG classification as a part of the Phys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a68522455750018d37f3b72f4197b8ea
https://doi.org/10.22489/cinc.2020.189
https://doi.org/10.22489/cinc.2020.189