Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Max Haberbusch"'
Autor:
Max Haberbusch, Bettina Kronsteiner, Philipp Aigner, Attila Kiss, Bruno Karl Podesser, Francesco Moscato
Publikováno v:
Frontiers in Physiology, Vol 15 (2024)
IntroductionThe influence of vagus nerve stimulation (VNS) parameters on provoked cardiac effects in different levels of cardiac innervation is not well understood yet. This study examines the effects of VNS on heart rate (HR) modulation across a spe
Externí odkaz:
https://doaj.org/article/cf842df34ea744b68eaf475305125cd0
Autor:
Bettina Kronsteiner, Max Haberbusch, Philipp Aigner, Anne-Margarethe Kramer, Patrick M. Pilz, Bruno K. Podesser, Attila Kiss, Francesco Moscato
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract The cardiac responses to vagus nerve stimulation (VNS) are still not fully understood, partly due to uncontrollable confounders in the in-vivo experimental condition. Therefore, an ex-vivo Langendorff-perfused rabbit heart with intact vagal
Externí odkaz:
https://doaj.org/article/9b830620cb964b6d8a563e2e4a7991b4
Autor:
Max Haberbusch, Bettina Kronsteiner, Anne-Margarethe Kramer, Attila Kiss, Bruno K. Podesser, Francesco Moscato
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract Persistent sinus tachycardia substantially increases the risk of cardiac death. Vagus nerve stimulation (VNS) is known to reduce the heart rate, and hence may be a non-pharmacological alternative for the management of persistent sinus tachyc
Externí odkaz:
https://doaj.org/article/b91862db398e41e3a061b66bb68ca5db
Publikováno v:
Frontiers in Physiology, Vol 11 (2020)
Introduction: During heart transplantation (HTx), cardiac denervation is inevitable, thus typically resulting in chronic resting tachycardia and chronotropic incompetence with possible consequences in patient quality of life and clinical outcomes. To
Externí odkaz:
https://doaj.org/article/26701a72785049b3a03235961b12f738
Publikováno v:
IEEE transactions on bio-medical engineering. 69(10)
In the above paper [1] there are minor errors in several equations, which we correct here. There is also an error in Fig. 5, which we also correct here.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::9281f82ee4976a2f44d4010773a0715d
https://pubmed.ncbi.nlm.nih.gov/34357860
https://pubmed.ncbi.nlm.nih.gov/34357860
Publikováno v:
Studies in health technology and informatics. 293
In recent years, there has been a rising interest in the application of deep neural networks (DNN) for the delineation of the electrocardiogram (ECG).A variety of DNN architectures has been investigated in a 5-fold cross-validation approach.The best
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::7fe732a155537117fa8b29e84207468d
https://pubmed.ncbi.nlm.nih.gov/35592969
https://pubmed.ncbi.nlm.nih.gov/35592969
Background: In recent years, there has been a rising interest in the application of deep neural networks (DNN) for the delineation of the electrocardiogram (ECG). Objectives: A variety of DNN architectures has been investigated in a 5-fold cross-vali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bc1de1b3f669e08e3846e84999b93de
https://doi.org/10.3233/shti220356
https://doi.org/10.3233/shti220356
Publikováno v:
IEEE transactions on bio-medical engineering. 69(2)
Objective Today, the diverse acute cardiac effects of vagus nerve stimulation (VNS) are still not fully understood. Therefore, we propose a numerical model that can predict the acute cardiac responses to VNS and explain the underlying mechanisms on d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f48e149d70a43a1dc9fe83bed2e454f4
https://pubmed.ncbi.nlm.nih.gov/36121966
https://pubmed.ncbi.nlm.nih.gov/36121966
Autor:
Mojgan Ghodrati, Markus Königshofer, Max Haberbusch, Philipp Aigner, Amila Kahrovic, Markus Mach, Martin Andreas, Heinrich Schima, Francesco Moscato
Publikováno v:
ASAIO Journal. 68:109-109
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cf608694f7a80eac112f527862d5969
https://doi.org/10.1097/01.mat.0000841348.56615.f3
https://doi.org/10.1097/01.mat.0000841348.56615.f3
Autor:
Domenico Camboni, Davide Ferraro, Thomas Schlöglhofer, Fabio Bernini, Guido Giudetti, Calogero Maria Oddo, Giacomo D'Alesio, Jacopo Carpaneto, Valentina Casieri, Vincenzo Lionetti, Domiziana Terlizzi, Leone Costi, Philipp Aigner, Martin Maw, Francesco Moscato, Max Haberbusch, Andrea Aliperta, Silvestro Micera, Ewald Unger, Luca Massari, Gianni Pedrizzetti, Ciro Zinno
Continuous and reliable cardiac function monitoring could improve medication adherence in patients at risk of heart failure. This work presents an innovative implantable Fiber Bragg Grating-based soft sensor designed to sense mechanical cardiac activ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03ebe8133b6050983698ad559dab172b
https://ieeexplore.ieee.org/document/9344810
https://ieeexplore.ieee.org/document/9344810