Use of Approximation Entropy for Stratification of Risk in Patients with Chagas Disease

Miguel Angel Vizcardo Cornejo, A. Ravelo

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

According to the World Health Organization, the number of people infected with Trypanosoma Cruzi is estimated between 6 and 7 million, the causative agent of Chagas disease, and in 550000 people exposed to the risk of affectation. The approximate entropy was used to quantify the regularity of the tachograms of patients with Chagas disease. The study population consisted of three groups of volunteers: 92 controls (C), 102 patients with positive serology without cardiac involvement diagnosed by conventional non-invasive methods (CH1) and 107 patients with positive serology and mild to moderate incipient heart failure (CH2). We analyzed RR segments of 5 minutes, 288 segments, corresponding to 24 hours per patient. We found significant differences between the Control and CH2 groups, which is used to stratify risk in the CH1 group.

Idioma originalInglés
Título de la publicación alojadaComputing in Cardiology Conference, CinC 2018
EditorialIEEE Computer Society
ISBN (versión digital)9781728109589
DOI
EstadoPublicada - set. 2018
Evento45th Computing in Cardiology Conference, CinC 2018 - Maastricht, Países Bajos
Duración: 23 set. 201826 set. 2018

Serie de la publicación

NombreComputing in Cardiology
Volumen2018-September
ISSN (versión impresa)2325-8861
ISSN (versión digital)2325-887X

Conferencia

Conferencia45th Computing in Cardiology Conference, CinC 2018
País/TerritorioPaíses Bajos
CiudadMaastricht
Período23/09/1826/09/18

Nota bibliográfica

Publisher Copyright:
© 2018 Creative Commons Attribution.

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