Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Pedro David Arini"'
Publikováno v:
Revista Elektrón, Vol 4, Iss 2, Pp 52-57 (2020)
In this work, a novel stack of well-known technologies is presented to determine an automatic method to segment the heart sounds in a phonocardiogram (PCG). We will show a deep recurrent neural network (DRNN) capable of segmenting a PCG into their ma
Externí odkaz:
https://doaj.org/article/d968c9bdc35043ec94a702cbc4c33701
Autor:
Carolina Fernandez Biscay, Maria Paula Bonomini, Miguel Eduardo Zitto, Rosa Piotrkowski, Pedro David Arini
Publikováno v:
IEEE Latin America Transactions. 20:2439-2447
Publikováno v:
Medical & Biological Engineering & Computing. 60:1313-1321
Coronary artery disease (CAD) is among the leading causes of death worldwide. Initial studies require an electrocardiogram stress test often followed by cardiac imaging procedures. However, conventional indices still show insufficient diagnostic perf
Autor:
Anderson Iván Rincón Soler, Pedro David Arini, Carolina Fernández Biscay, Maria Paula Bonomini
Publikováno v:
Medical & Biological Engineering & Computing. 58:1069-1078
Holter recordings are widely used to detect cardiac events that occur transiently, such as ischemic events. Much effort has been made to detect early ischemia, thus preventing myocardial infarction. However, after detection, classification of ischemi
Publikováno v:
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Revista Elektrón, Vol 4, Iss 2, Pp 52-57 (2020)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Revista Elektrón, Vol 4, Iss 2, Pp 52-57 (2020)
In this work, a novel stack of well-known technologies is presented to determine an automatic method to segment the heart sounds in a phonocardiogram (PCG). We will show a deep recurrent neural network (DRNN) capable of segmenting a PCG into its main
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fae0fb6c8f571fb8d283e09d1361d2c
Autor:
Pablo Daniel Cruces, Alejandra Toscano, Francisco Javier Alvarado Rodríguez, Rebeca Romo-Vázquez, Pedro David Arini
Publikováno v:
Biomedical Signal Processing and Control. 81:104493
Autor:
Esteban R. Valverde, Pedro David Arini
Publikováno v:
Biomedical Signal Processing and Control. 48:161-170
Experimental and clinical studies have shown that after myocardial infarction (MI), increases the risk to develop cardiac arrhythmias. We have evaluated the ventricular activation during healing (MI7) and healed (MI60) stages after MI. We carried out
Introduction The abnormal amplification of ventricular repolarization dispersion (VRD) has long been linked to proarrhythmia risk. Recently, the measure of VRD through electrocardiogram intervals has been strongly questioned. The search for an effici
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65948e09110c4906048f3eb7fb518429
https://www.sciencedirect.com/science/article/abs/pii/S1056871920302239?via=ihub
https://www.sciencedirect.com/science/article/abs/pii/S1056871920302239?via=ihub
Introduction: Antiarrhythmic drugs therapies are currently going through a turning point. The high risk that exists during the treatments has led to an ongoing search for new non-invasive toxicity risk biomarkers. Methods: We propose the use of spati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1f2aedb091b94fd76f1cd6b079eb2f6
https://www.sciencedirect.com/science/article/abs/pii/S0022073620301308
https://www.sciencedirect.com/science/article/abs/pii/S0022073620301308
Autor:
Sergio Javier Liberczuk, Martín Santa María, Guillermo Claudio Bertran, Pedro David Arini, Javier Gustavo Mendieta
Publikováno v:
Computational and Mathematical Methods in Medicine, Vol 2018 (2018)
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Computational and Mathematical Methods in Medicine
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Computational and Mathematical Methods in Medicine
Background and Objectives. The extensive use of electrocardiogram (ECG) recordings during experimental protocols using small rodents requires an automatic delineation technique in the ECG with high performance. It has been shown that the wavelet tran