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dc.contributor.author
Arini, Pedro David  
dc.contributor.author
Bonomini, Maria Paula  
dc.contributor.author
Valentinuzzi, Max E.  
dc.date.available
2023-01-09T15:17:19Z  
dc.date.issued
2010  
dc.identifier.citation
Prediction of ventricular fibrillation based on the ST-segment; 32nd Annual International Conference of the IEEE EMBS; Argentina; 2010; 2010-2012  
dc.identifier.uri
http://hdl.handle.net/11336/183925  
dc.description.abstract
Based on some reported clinical data, we attempt to apply the allometric law for evaluating the probability of ventricular fibrillation when electrocardiographic ST-segment deviations are determined. The deviation is measured in millimeters at the standard calibration of 1mV = 10mm and the probability in percent. Using the equation VF P = δ + β (ST) in log-log representation, the fitting procedure produced the following overall coefficients: Average β = 1.11, with a maximum = 1.65 and a minimum = 0.78; Average δ = 0.83, with a maximum = 1.39 and a minimum = 0.41. For a 2mm ST-deviation, the full range of predicted ventricular fibrillation probability extended from about 6% at 1 month up to 47% at 4 years after the original cardiac event. These results, at least preliminarily, appear acceptable and still call for full clinical test. The model seems promising if other parameters were taken into account, such as cardiac enzyme concentration, ischemic or infarcted epicardial areas or ejection fraction. It is concluded, considering these results and a few references found in the literature, that the allometric model shows promising features in cardiology.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Institute of Electrical and Electronics Engineers  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
ALLOMETRIC MODEL  
dc.subject
ST DEVIATION  
dc.subject.classification
Otras Ingenierías y Tecnologías  
dc.subject.classification
Otras Ingenierías y Tecnologías  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Prediction of ventricular fibrillation based on the ST-segment  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.type
info:eu-repo/semantics/conferenceObject  
dc.type
info:ar-repo/semantics/documento de conferencia  
dc.date.updated
2022-11-09T19:35:35Z  
dc.journal.pagination
2010-2012  
dc.journal.pais
Estados Unidos  
dc.description.fil
Fil: Arini, Pedro David. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Argentino de Matemática Alberto Calderón; Argentina. Universidad de Buenos Aires. Instituto de Ingeniería Biomédica; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina  
dc.description.fil
Fil: Bonomini, Maria Paula. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Argentino de Matemática Alberto Calderón; Argentina. Universidad Maimónides; Argentina  
dc.description.fil
Fil: Valentinuzzi, Max E.. Universidad de Buenos Aires. Instituto de Ingeniería Biomédica; Argentina  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1109/IEMBS.2010.5627871  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/5627871  
dc.conicet.rol
Autor  
dc.conicet.rol
Autor  
dc.conicet.rol
Autor  
dc.coverage
Internacional  
dc.type.subtype
Conferencia  
dc.description.nombreEvento
32nd Annual International Conference of the IEEE EMBS  
dc.date.evento
2010-08-31  
dc.description.paisEvento
Argentina  
dc.type.publicacion
Journal  
dc.description.institucionOrganizadora
El Instituto de Ingenieros Eléctricos y Electrónicos  
dc.source.revista
32nd Annual International Conference of the IEEE EMBS  
dc.date.eventoHasta
2010-09-04  
dc.type
Conferencia