Análisis de la variabilidad de la frecuencia cardiaca en neonatos a partir de registros de señales de electrocardiografía

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dc.contributor.advisorMateus Perez, Jose Luis
dc.contributor.advisorSepulveda Sepulveda, Franklin Alexander
dc.contributor.advisorDuarte Gualdrón, César Antonio
dc.contributor.authorSalamanca Duarte, Ever Danilo
dc.date.accessioned2024-03-03T23:57:10Z
dc.date.available2018
dc.date.available2024-03-03T23:57:10Z
dc.date.created2018
dc.date.issued2018
dc.description.abstractEn el presente documento se estudian e implementan dos de los algoritmos más utilizados en el procesamiento de señales ECG, el algoritmo basado en la transformada Wavelet1 y el de Pan Tompkins2, con el fin
dc.description.abstractenglishIn this document we study and implement two of the most used algorithms in the processing of ECG signals, the algorithm based on the transformed Wavelet and Pan Tompkins, in order to make an analysis in neonatal electrocardiogram signals Oriented to determine which of the two best detects the heart rate. These algorithms were selected to present a high reliability rate when analyzing the ECG of young adults and older adults with a sensitivity of 98.28% and 99.81 respectively, is important to emphasize that the ECG signals in neonates have particularities with regard to the cardiac signals of adults. The treated data bank contains signs of completely healthy newborns that were taken in the first 24 hours to the first week and month of birth. Each electrocardiogram signal is processed with the two algorithms mentioned to find the heart rate of each record, once you have the data are compared to reference values. By means of a statistical analysis and diagnostic tests It is concluded that it is the Pan Tompkins algorithm that shows a more reliable frequency reading for ECG signals in neonates with a sensitivity of 98.58%.
dc.description.degreelevelPregrado
dc.description.degreenameIngeniero Electrónico
dc.format.mimetypeapplication/pdf
dc.identifier.instnameUniversidad Industrial de Santander
dc.identifier.reponameUniversidad Industrial de Santander
dc.identifier.repourlhttps://noesis.uis.edu.co
dc.identifier.urihttps://noesis.uis.edu.co/handle/20.500.14071/37816
dc.language.isospa
dc.publisherUniversidad Industrial de Santander
dc.publisher.facultyFacultad de Ingenierías Fisicomecánicas
dc.publisher.programIngeniería Electrónica
dc.publisher.schoolEscuela de Ingenierías Eléctrica, Electrónica y Telecomunicaciones
dc.rightshttp://creativecommons.org/licenses/by/4.0/
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.rights.creativecommonsAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
dc.rights.licenseAttribution-NonCommercial 4.0 International (CC BY-NC 4.0)
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0
dc.subjectEcg
dc.subjectTransformada Wavelet
dc.subjectPan Tompkins
dc.subjectVariabilidad Cardiaca
dc.subject.keywordEcg
dc.subject.keywordTransformed Wavelet
dc.subject.keywordPan Tompkins
dc.subject.keywordCardiac Variability
dc.titleAnálisis de la variabilidad de la frecuencia cardiaca en neonatos a partir de registros de señales de electrocardiografía
dc.title.englishAnalysis of cardiac frequency variability in neonates from records of electrocardiography signals*
dc.type.coarhttp://purl.org/coar/version/c_b1a7d7d4d402bcce
dc.type.hasversionhttp://purl.org/coar/resource_type/c_7a1f
dc.type.localTesis/Trabajo de grado - Monografía - Pregrado
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