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A new on-line electrocardiographic records database and computer routines for data analysis
Conference ObjectAbstract: Gathering experimental data to test computer methods developed during a research is a hard work. NowPalabras claves:Autores:Altuve M., Ledezma C.A., Perpinan G., Sara Wong De Balzan, Severeyn E.Fuentes:scopusCharacterizing artifacts in RR stress test time series
Conference ObjectAbstract: Electrocardiographic stress test records have a lot of artifacts. In this paper we explore a simplePalabras claves:Autores:Fabian Astudillo-Salinas, Kenneth Samuel Palacio Baus, Lizandro Damian Solano-Quinde, Ruben Medina Molina, Sara Wong De BalzanFuentes:rraaescopusCinC Challenge 2013: Comparing three algorithms to extract fetal ECG
Conference ObjectAbstract: This paper reports a comparison between three fetal ECG (fECG) detectors developed during the CinC 2Palabras claves:decision fusion, non-invasive fetal ECG, Physionet challengeAutores:E Velecela, Esteban Velecela, Fabian Astudillo-Salinas, J Loja, Juan Loja, Kenneth Samuel Palacio Baus, Ruben Medina Molina, Sara Wong De BalzanFuentes:rraaescopusClassification of Impaired Waist to Height Ratio Using Machine Learning Technique
Conference ObjectAbstract: Metabolic dysfunctions are a set of metabolic risk factors that include abdominal obesity, dyslipidePalabras claves:Anthropometrics measurements, K-means clustering algorithm, Waist to height ratio (WHtR)Autores:A. La Cruz, Perpinan G., Sara Wong De Balzan, Severeyn E.Fuentes:scopusClassification of metabolic syndrome subjects and marathon runners with the k-means algorithm using heart rate variability features
Conference ObjectAbstract: In this paper, we have applied the k-means clustering algorithm to classify three study groups (peopPalabras claves:Autores:Altuve M., Perpinan G., Sara Wong De Balzan, Severeyn E.Fuentes:rraaescopusComparing glucose and insulin data from the two-hour oral glucose tolerance test in metabolic syndrome subjects and marathon runners
Conference ObjectAbstract: Glucose is the main energy source of the body's cells and is essential for normal metabolism. Two paPalabras claves:Autores:Altuve M., Perpinan G., Sara Wong De Balzan, Severeyn E.Fuentes:rraaescopusComparing six QT correction methods in an athlete population
Conference ObjectAbstract: Sinus bradycardia and prolonged QT interval corrected (QTc) are frequently noted on resting ECG in aPalabras claves:Autores:Altuve M., Carrault G., Carré F., Kervio G., Sara Wong De BalzanFuentes:scopusComputerized analysis of ST vs. HR for assessing myocardial ischaemia in the stress ECG
Conference ObjectAbstract: Stress electrocardiography is very important in myocardial ischaemia diagnosis and gives insight aboPalabras claves:Autores:Almeida D., Bevilacqua G., Mora F., Passariello G., Sara Wong De BalzanFuentes:scopusAssessment of Anthropometric Measurements for Obesity and Abnormal Body Fat Percentage Diagnosis Using k-means as Clustering Technique
Conference ObjectAbstract: The increased prevalence of overweight and obesity has become a major factor in public spending in cPalabras claves:Anthropometrics measurements, k-means clustering, Skinfold thinknessAutores:A. La Cruz, Herrera H., Sara Wong De Balzan, Severeyn E., Velasquez J.Fuentes:scopusAn aide diagnosis system based on k-means for insulin resistance assessment in eldery people from the Ecuadorian highlands
Conference ObjectAbstract: The lack of standardized cut-off values for the surrogate methods to diagnose Insulin resistance (IRPalabras claves:Elderly, Homa-IR, Insulin Resistance, K-Means, Quicki, unsupervided learningAutores:Cristian Vintimilla, Fabian Astudillo-Salinas, Lorena Esperanza Torres Encalada, Sara Wong De Balzan, Severeyn E.Fuentes:scopus