Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Massimo W. Rivolta"'
Autor:
Agnese Sbrollini, Chiara Leoni, Micaela Morettini, Massimo W. Rivolta, Cees A. Swenne, Luca Mainardi, Laura Burattini, Roberto Sassi
Publikováno v:
Applied Sciences, Vol 14, Iss 2, p 817 (2024)
COVID-19 is an infectious disease that has greatly affected worldwide healthcare systems, due to the high number of cases and deaths. As COVID-19 patients may develop cardiac comorbidities that can be potentially fatal, electrocardiographic monitorin
Externí odkaz:
https://doaj.org/article/6fd74079ad8f4f508744536a66637250
Autor:
Giorgio Luongo, MSc, Luca Azzolin, MSc, Steffen Schuler, MSc, Massimo W. Rivolta, PhD, Tiago P. Almeida, PhD, Juan P. Martínez, PhD, Diogo C. Soriano, PhD, Armin Luik, MD, Björn Müller-Edenborn, MD, Amir Jadidi, MD, Olaf Dössel, PhD, Roberto Sassi, PhD, Pablo Laguna, PhD, Axel Loewe, PhD
Publikováno v:
Cardiovascular Digital Health Journal, Vol 2, Iss 2, Pp 126-136 (2021)
Background: Atrial fibrillation (AF) is the most common supraventricular arrhythmia, characterized by disorganized atrial electrical activity, maintained by localized arrhythmogenic atrial drivers. Pulmonary vein isolation (PVI) allows to exclude PV-
Externí odkaz:
https://doaj.org/article/946de344e92d48cfb0257024a32dae0f
Autor:
Giorgio Luongo, Felix Rees, Deborah Nairn, Massimo W. Rivolta, Olaf Dössel, Roberto Sassi, Christoph Ahlgrim, Louisa Mayer, Franz-Josef Neumann, Thomas Arentz, Amir Jadidi, Axel Loewe, Björn Müller-Edenborn
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 9 (2022)
AimsAtrial fibrillation (AF) and heart failure often co-exist. Early identification of AF patients at risk for AF-induced heart failure (AF-HF) is desirable to reduce both morbidity and mortality as well as health care costs. We aimed to leverage the
Externí odkaz:
https://doaj.org/article/4f59f2f7c1b74675b829a864dcae0902
Publikováno v:
Frontiers in Medicine, Vol 8 (2021)
During labor, uterine contractions trigger the response of the autonomic nervous system (ANS) of the fetus, producing sawtooth-like decelerations in the fetal heart rate (FHR) series. Under chronic hypoxia, ANS is known to regulate FHR differently wi
Externí odkaz:
https://doaj.org/article/d3eb4a622f774d22afbc0eae7f9c728e
Publikováno v:
Entropy, Vol 23, Iss 6, p 761 (2021)
Aims: Bubble entropy (bEn) is an entropy metric with a limited dependence on parameters. bEn does not directly quantify the conditional entropy of the series, but it assesses the change in entropy of the ordering of portions of its samples of length
Externí odkaz:
https://doaj.org/article/2ab7ab6075184e808b3d30767dcd1cc2
Autor:
Davide Coluzzi, Massimo W. Rivolta, Alfonso Mastropietro, Simone Porcelli, Marco L. Mauri, Marta T. L. Civiello, Enrico Denna, Giovanna Rizzo, Roberto Sassi
Publikováno v:
Computers, Vol 9, Iss 2, p 31 (2020)
Wearable sensors play a significant role for monitoring the functional ability of the elderly and in general, promoting active ageing. One of the relevant variables to be tracked is the number of stair steps (single stair steps) performed daily, whic
Externí odkaz:
https://doaj.org/article/9332fa3e74d94cb78c425bb0146cb00d
Autor:
'Federico M. Muscato, Valentina Corino, Massimo W Rivolta, Pietro Cerveri, Antonio Sanzo, Alessandro Vicentini, Roberto Sassi, Luca Mainardi\\'
Publikováno v:
Computing in Cardiology Conference (CinC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10f5178664df682f7e7431aa5c2aabfc
https://doi.org/10.22489/cinc.2022.196
https://doi.org/10.22489/cinc.2022.196
Autor:
Massimo W Rivolta
Publikováno v:
Computing in Cardiology Conference (CinC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04e835a94c46fc04ca6e7ab580ed5d19
https://doi.org/10.22489/cinc.2022.332
https://doi.org/10.22489/cinc.2022.332
Publikováno v:
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
Deep Learning approaches are powerful tools in a great variety of classification tasks. However, they are limitedly accepted or trusted in clinical frameworks due to their typical "black box" outline: their architecture is well-known, but processes e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57bebc1728ba0585e9c2273db7852b14
https://doi.org/10.1109/embc48229.2022.9871306
https://doi.org/10.1109/embc48229.2022.9871306
Publikováno v:
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences. 379(2212)
Recent studies have suggested that cardiac abnormalities can be detected from the electrocardiogram (ECG) using deep machine learning (DL) models. However, most DL algorithms lack interpretability, since they do not provide any justification for thei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4aeab1636b730a23332f588e30cedf3f
https://pubmed.ncbi.nlm.nih.gov/34689625
https://pubmed.ncbi.nlm.nih.gov/34689625