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Analyzing approaches to mathematic modeling of heart sounds
Zemlyakov, Ivan; Zhdanov, Dmitry; Bureev, Artem; Kostelei, Yana.
  • Zemlyakov, Ivan; National Research Tomsk State University. Tomsk. RU
  • Zhdanov, Dmitry; National Research Tomsk State University. Tomsk. RU
  • Bureev, Artem; National Research Tomsk State University. Tomsk. RU
  • Kostelei, Yana; National Research Tomsk State University. Tomsk. RU
Prensa méd. argent ; 105(9 especial): 644-651, oct 2019. fig
Artículo en Inglés | LILACS, BINACIS | ID: biblio-1046879
ABSTRACT
The article introduces the findings of the analysis of the existing approaches to the development of mathematical models of acoustic heart phenomena. The analysis of mathematical methods that can be used to model heart sounds has been performed with the use of reference signals from the 3M Open Library (Littmann Library) and a set of signals obtained by the authors during their previous scientific efforts. The analysis findings have allowed revealing the approaches and methods that are most suitable for developing the mathematical models of human phonocardiograms (normal and pathological) for further research efforts meant to develop methods to single out heart beats against the high level of interference and creating intervalograms to characterize the heart rate at the current moments of time. In addition to the generation of model phonocardiograms, the article reviews the methods to analyze model and real-life phonocardiograms with the assessment of an input from random and deterministic components.
Asunto(s)

Índice: LILACS (Américas) Asunto principal: Fonocardiografía / Análisis Espectral / Acústica / Modelos Estadísticos / Determinación de la Frecuencia Cardíaca / Corazón Tipo de estudio: Estudio pronóstico / Factores de riesgo Límite: Humanos Idioma: Inglés Revista: Prensa méd. argent Asunto de la revista: Medicina Año: 2019 Tipo del documento: Artículo País de afiliación: Rusia Institución/País de afiliación: National Research Tomsk State University/RU

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Índice: LILACS (Américas) Asunto principal: Fonocardiografía / Análisis Espectral / Acústica / Modelos Estadísticos / Determinación de la Frecuencia Cardíaca / Corazón Tipo de estudio: Estudio pronóstico / Factores de riesgo Límite: Humanos Idioma: Inglés Revista: Prensa méd. argent Asunto de la revista: Medicina Año: 2019 Tipo del documento: Artículo País de afiliación: Rusia Institución/País de afiliación: National Research Tomsk State University/RU