Browsing by Author "Wong, Sara"

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Nivel de actividad física medida a través del cuestionario internacional de actividad física, en adultos mayores de las parroquias urbanas de Cuenca-Ecuador, 2015
(Universidad de Cuenca. Facultad de Ciencias Médicas, 2016-09) Chimbo Yunga, Jenny Maritza; Chuchuca Cajamarca, Angela Jimena; Encalada Torres, Lorena Esperanza; Wong, Sara
INTRODUCTION: Globally there is a demographic transition and the elderly population by 2050 will increase from 10% to 22%, in Ecuador in 2010 elderly people represented 7% and by 2050 will increase to 18%. Population aging leads to increased rates of chronic degenerative disease primarily associated with an insufficient level of physical activity increase the risk of death of 20% to 30%. There is evidence that moderate-vigorous physical activity levels reported health benefits. OBJECTIVE: To determine the level of physical activity through the IPAQ (short version) in adults older from urban parishes in Cuenca, 2015. METHODOLOGY: It is a descriptive study of 387 older adults in whom the International Physical Activity Questionnaire (IPAQ) in its short version was applied by interview, after fulfilling the inclusion criteria: men and women with 65 years old and older who wish to participate and sign the informed consent. The data were analyzed and processed in SPSS version 15, using frequency distribution, measures of central tendency (mean) and dispersion (standard deviation). RESULTS: A total of 387 older adults were studied, the 64.6% were between 65-74 years, the average age stood at 72.77 years with a standard deviation of ± 7.47 years, were the 63.6% were female, the 55.8% were married , the 53.4% finished primary school, and the 70.5% was not active in work. The 45% of older adults had a high level of physical activity, 37% moderate and 18% low. Physical activity levels varied with age, marital status, education level and occupation. CONCLUSIONS: The older adults in Cuenca have a high level of physical activity, which may vary by certain socio- demographic characteristics
Plataforma basada en ecgML para el estudio de las complicaciones cardiovasculares en el adulto mayor con síndrome metabólico
(Universidad de Cuenca, 2015) Parra, Freddy; Andrade, Diana; Cruz, Julio; Solano-Quinde, Lizandro; Palacio-Baus, Kenneth; Encalada, Lorena; Wong, Sara; Universidad de Cuenca; Dirección de Investigación de la Universidad de Cuenca; DIUC
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.
Sistema de anotación semiautomático de señales electrocardiográficas de esfuerzo
(Universidad de Cuenca, 2016-11-16) Fajardo-Reinoso, Juan; Astudillo-Salinas, Darwin; Solano-Quinde, Lizandro; Wong, Sara
Despite the availability of electrocardiographic (ECG) databases does the medical sector not yet possesses an annotated stress database. This paper introduces an annotation system using RR-time series obtained from an eight lead stress database (DICARDIA). First, the system proposes to the user a lead (reference channel) according to its statistical measures. The user then undergoes a visual inspection validating or denying the channel proposed by the system. Afterwards, the system proposes two options based on the quality of the RR-time series. If the series contains few artifacts the annotations are realized using the interval of annotations; in the case of noisy series the system allows annotations beat by beat. The preliminary results realized over 172025 beats (approximately 15% of DICARDIA database) give a sensibility and positive predictive value of 97.66% and 96.71% respectively. The system will permit the delineation of stress databases, which will be an important starting point for evaluating the performance of QRS detectors.