Plataforma basada en ecgML para el estudio de las complicaciones cardiovasculares en el adulto mayor con síndrome metabólico
Abstract
RESUMEN
La presente investigación se enmarca dentro del proyecto DIUC-PROMETEO Variabilidad de la Frecuencia Cardiaca y Sensibilidad a la Insulina en la población Adulta Mayor de Cuenca. El protocolo clínico desarrollado en este proyecto contempla el registro de datos de diversas índoles que deben ser integrados en una plataforma abierta que permita su fácil explotación tanto para el seguimiento de los sujetos en estudio para su historia médica, como para el uso de esta información con propósitos de investigación. El principal objetivo de este proyecto es integrar los datos de la muestra recolectada en una plataforma abierta. El diseño del sistema propuesto es una solución flexible basada en ecgML, que permite integrar diferentes tipos de variables. Se incorporan las señales ECG en formato ECG-SCP, información demográfica, variables clínicas, antropométricas y bioquímicas. Se presentan los resultados preliminares del desarrollo de la Base de Datos para el estudio del Síndrome Metabólico y sus complicaciones cardiacas. Actualmente la plataforma desarrollada sirve de base para el manejo de la información multi-paramétrica del proyecto DIUC-PROMETEO. A la fecha se ha recolectado datos de 180 AM de los cuales se ha determinado una prevalencia de SM cercana al 40%. De esta población se disponen 117 registros ECG que permitirán realizar diferentes estudios cardiológicos.
Palabras clave: Plataforma abierta, ECG, SCP-ECG, ecgML, síndrome metabólico, adulto mayor.
ABSTRACT
This research is part of DIUC- PROMETEO project Heart rate variability and insulin sensitivity in the elderly population of Cuenca. In this paper preliminary results of the development of a database for the study of metabolic syndrome and cardiac complications are shown. The main objective of this project is to integrate data collected on the project within an open framework. The proposed system is a flexible solution based on ecgML that can integrate different types of variables: ECG in SCP-ECG format, demographic, clinical, anthropometric and biochemical variables. Presently, the platform developed is used for the management of the multiparametric information of DIUC-PROMETEO project. Data from 180 elderly people have been registered. MS prevalence is close to 40%. From this population, 117 ECG records are available for cardiological studies.
Keywords: Open framework, ECG, SCP-ECG, ecgML, metabolic syndrome, elderly.
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References
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