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Proceedings of SPIE - The International Society for Optical Engineering(3)
2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017(1)
2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings(1)
Advances in Intelligent Systems and Computing(1)
Diabetes and Metabolic Syndrome: Clinical Research and Reviews(1)
Anthropometric index for insulin sensitivity assessment in older adults from Ecuadorian highlands
Conference ObjectAbstract: A marked increase in the population aged 60 years and over is evident; the proportion of the older aPalabras claves:Anthropometric measures, Insulin sensitivity, Metabolic syndrome, Older subjects, Oral glucose tolerance testAutores:Herrera H., Lorena Esperanza Torres Encalada, Sara Wong De Balzan, Severeyn E., Velasquez J.Fuentes:rraaescopusDimensional analysis of heart rate variability parameters for metabolic dysfunctions diagnosis
Conference ObjectAbstract: Obesity, metabolic syndrome (MS) and insulin resistance (IR) are diseases related to lifestyle, theyPalabras claves:Dimensional analysis, medical database, Metabolic syndrome, ROC curves, theorem π of Vaschy-BuckinghamAutores:Fabian Astudillo-Salinas, Herrera H., Sara Wong De Balzan, Severeyn E., Velasquez J.Fuentes:scopusEstimation of invasive physiological parameters from non invasive parameters using dimensionless numbers and Monte Carlo cross-validation
Conference ObjectAbstract: According to NCEP-ATPIII criterion, metabolic syndrome (MS) diagnosis is based in the measurement ofPalabras claves:Empirical Correlation, Metabolic syndrome, Monte Carlo cross-validationAutores:Altuve M., Herrera H., Perpinan G., Sara Wong De Balzan, Severeyn E., Velasquez J.Fuentes:scopusOptimized fasting and OGTT-based simple surrogate methods for assessing insulin sensitivity
ArticleAbstract: Aims: Simple surrogate indices of insulin sensitivity have been conceived to deal with costly and coPalabras claves:evolutionary algorithm, Insulin sensitivity, Metabolic syndrome, Oral glucose tolerance test, Statistical AnalysisAutores:Altuve M., Sara Wong De Balzan, Severeyn E.Fuentes:scopusMetabolic syndrome and physical activity in elderly people from the ecuadorian highlands
ArticleAbstract: Objective Determine the prevalence of the metabolic syndrome, the level of physical activity and thePalabras claves:aging, Elderly, Metabolic syndrome, Physical activity, urban healthAutores:Chimbo-Yunga J.M., Chuchuca-Cajamarca Á.J., Lorena Esperanza Torres Encalada, Sara Wong De BalzanFuentes:scopusMethodology for the study of metabolic syndrome by heart rate variability and insulin sensitivity
ArticleAbstract: This work presents a methodology for studying the Heart Rate Variability (HRV) and Insulin SensitiviPalabras claves:diabetes mellitus, Heart Rate Variability, Insulin sensitivity, Metabolic syndrome, Oral glucose tolerance testAutores:Almeida D., Cevallos J.L., Passariello G., Sara Wong De Balzan, Severeyn E.Fuentes:scopusLipid-anthropometric index optimization for insulin sensitivity estimation
Conference ObjectAbstract: Insulin sensitivity (IS) is the ability of cells to react due to insulińs presence; when this abilitPalabras claves:Insulin sensitivity, Metabolic syndrome, Oral glucose tolerance test, random cross validation, Statistical AnalysisAutores:Herrera H., Lorena Esperanza Torres Encalada, Sara Wong De Balzan, Severeyn E., Velasquez J.Fuentes:rraaescopusQT correction formulas and laboratory analysis on patients with metabolic syndrome and diabetes
Conference ObjectAbstract: This article presents a study of ventricular repolarization in diabetic and metabolic syndrome subjePalabras claves:Corrected QT interval, diabetes mellitus, ECG Feature Extraction, Laboratory Test Analysis, Metabolic syndromeAutores:Altuve M., Rivera P., Rodriguez M.G., Sara Wong De Balzan, Severeyn E.Fuentes:scopusRandom Sub-sampling Cross Validation for Empirical Correlation Between Heart Rate Variability, Biochemical and Anthropometrics Parameters
Conference ObjectAbstract: According to National Cholesterol Education Program-Adult Treatment Panel III, metabolic syndrome (MPalabras claves:Empirical Correlation, Metabolic syndrome, Random sub-sampling cross validationAutores:Herrera H., Sara Wong De Balzan, Severeyn E., Velasquez J.Fuentes:scopus