Application of the Entropy of Approximation for the nonlinear characterization in patients with Chagas Disease

M. Vizcardo, A. Ravelo, M. Manrique, P. Gomis

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

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Resumen

Chagas disease American trypanosomiasis is caused by a flagellated parasite: Trypanosoma cruzi, transmitted by an insect of the genus Triatoma and also by blood transfusions. In Latin America, the number of infected people is approximately 6 million, with a population exposed to the risk of infection of 550000. It is our interest to develop a non-invasive and low-cost methodology, capable of detecting any early cardiac alteration that also allows us to see dysautononia or dysfunction within 24 hours and with this it could be used to detect any cardiac alteration caused by T early Cruzi. For this, we analyzed the 24- hour Holter ECG records in 107 patients with ECG abnormalities (CH2), 102 patients without ECG alterations (CH1) who had positive serological results for Chagas disease and 83 volunteers without positive serological results for Chagas disease (CONTROL). Approximate entropy was used to quantify the regularity of electrocardiograms (ECG) in the three groups. We analyzed 288 ECG segments per patient. Significant differences were found between the CONTROL-CH1, CONTROL-CH2 and CH1- CH2 groups.

Idioma originalInglés
Título de la publicación alojada2019 Computing in Cardiology, CinC 2019
EditorialIEEE Computer Society
ISBN (versión digital)9781728169361
DOI
EstadoPublicada - set. 2019
Evento2019 Computing in Cardiology, CinC 2019 - Singapore, Singapur
Duración: 8 set. 201911 set. 2019

Serie de la publicación

NombreComputing in Cardiology
Volumen2019-September
ISSN (versión impresa)2325-8861
ISSN (versión digital)2325-887X

Conferencia

Conferencia2019 Computing in Cardiology, CinC 2019
País/TerritorioSingapur
CiudadSingapore
Período8/09/1911/09/19

Nota bibliográfica

Publisher Copyright:
© 2019 Creative Commons.

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