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1.
Comput Biol Med ; 36(1): 1-20, 2006 Jan.
Artículo en Inglés | MEDLINE | ID: mdl-16324906

RESUMEN

The critical points (also known as phase singularities) in the heart reflect the pathological change of the heart tissue, and hence can be used to describe and analyze the dynamics of the cardiac electrical activity. As a result, the detection of these critical points can lead to correct understanding and effective therapy of the tachycardia. In this paper, we propose a novel approach to address this problem. The proposed approach includes four stages: image smoothing, motion estimation, motion decomposition, and detection of the critical points. In the image smoothing stage, the noisy cardiac optical data are smoothed using anisotropic diffusion equation. The conduction velocity fields of the cardiac electrical patterns can then be estimated from two consecutive smoothed images. Using the recently developed discrete Hodge-Helmholtz motion decomposition technique, the curl-free and divergence-free potential surfaces of an estimated velocity field are extracted. Finally, hierarchically searching the minima and maxima on the potential surfaces, the sources, sinks, and rotational centers are located with high accuracy. Experimental results with four real cardiac videos show that the proposed approach performs satisfactorily, especially for the cardiac electrical patterns with simple propagations.


Asunto(s)
Sistema de Conducción Cardíaco/fisiología , Procesamiento de Imagen Asistido por Computador/métodos , Modelos Cardiovasculares , Grabación en Video , Algoritmos , Humanos , Modelos Lineales , Fibrilación Ventricular/fisiopatología
2.
Indian J Endocrinol Metab ; 19(4): 507-10, 2015.
Artículo en Inglés | MEDLINE | ID: mdl-26180767

RESUMEN

CONTEXT: Gestational diabetes mellitus (GDM) should be diagnosed early, as untreated maternal hyperglycemia leads to adverse materno-fetal outcome. SUBJECTS AND METHODS: We studied prevalence of gestational diabetes by a house to house survey of a rural population in western India. A cluster of remote villages with little access to health care were chosen. RESULTS: A total of 989 women participated in the study out of which 9.5% (n = 94) were diagnosed as GDM. In a stepwise multivariate regression analysis a higher body mass index during pregnancy was a predictor of gestational diabetes. The prevalence of diabetes was similar in women with gestational age of >24 weeks and <24 weeks, suggesting the need for early screening. CONCLUSIONS: Our results suggest the need for implementing health programs to diagnose and treat gestational diabetes in this population.

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