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This paper presents current work on a pervasive health and fitness game (exergame), designed to motivate children to reach their recommended daily exercise goals and facilitate long term behavioural change. I discuss briefly the current work in the area of pervasive exergames and highlight a common theme in the approach they take. Through my study of the relevant psychology literature, I identify...
Monitoring of posture allocations and activities enables accurate estimation of energy expenditure and may aid in obesity prevention and treatment. At present, accurate devices rely on multiple sensors distributed on the body and thus may be too obtrusive for everyday use. This paper presents a novel wearable sensor, which is capable of very accurate recognition of common postures and activities....
This paper is on the basis of 2005 year's Shandong Province National Physique Monitoring Data, describes blood pressure distribution of 20 to 59-year-old residents, and on this basis, explores inner relationship between blood pressure and physique. The results show that: blood pressure detection rate on the high side of Shandong adult increased with age, and males higher than females, there is obvious...
This technical paper summarizes the methodology used to design an interactive food and exercise reporting program, called CFC GetFit. The team designed the site for the Chilidren's Fiteness Clinic (CFC) in Charlottesville, VA, and the site includes health education, patient progress, and the ability to receive short message service (SMS) text messages from users. It is hypothesized that children who...
Cooperations between engineers and physicians are crucial for studying and solving complex medical-biological problems. The study of obesity - unanimously regarded as a multi-factorial disease - is a typical example where specialists from various areas of medical research may be supported by engineers expert in system theory and software development. The effectiveness and the risk-benefit profile...
The number of web based health communities has increased during the latest years, and so has also the number of users. Among these, we find the health communities for people who suffer from lifestyle problems. These communities aim at helping people change their habits, and thereby preventing them from getting severe illnesses later. The communities are used for conversations about everyday struggles...
In this paper we present data mining and its utilization for childhood obesity prediction. Data mining was widely used in many childhood obesity prediction systems. Predicting obesity at an early age is both useful and important because the number of obese patients is increasing while its main cause cannot yet be defined. The ability to predict childhood obesity will help early prevention. The purpose...
Obesity prevention requires individuals to have healthy eating and physical activity awareness in their daily lives. New technological products have been explored to help monitoring individual health behaviors. Smart phones are ubiq-uitous hand-held tools with rich embedded sensors and limited computing power. A smart phone is a prospective candidate to integrate physical exercise analysis and food...
The Gulf States currently have one of the highest rates of diabetes and obesity in the world. It is blamed on a sedentary lifestyle and easy access to food high in fat and calories. Lifestyle choices such as physical activities and diet are the major force in fighting diabetes and obesity. The adoption of protective behaviors as well as healthful habits is a crucial factor in the prevention of these...
Genome-wide association studies (GWAS) provide a new and powerful approach to investigate the effect of inherited genetic variation on risks of complex diseases. With recent advances in genotyping technology, genome-wide association studies are now becoming a reality. Within the past two years, scientists have successfully replicated genetic risks of several complex diseases including cancers, obesity,...
In the last few years the use of medical and biomedical ontologies has increased considerably. It is very common to find applications and semantic webs using this kind of ontologies and a large number of papers have been written explaining why ontologies are useful in these fields. In this paper the use of ontologies for psychology and its benefits is discussed and a first ontology for obesity treatment...
A modified genetic algorithm has been developed for the task of optimal parameter selection for compartmental models. As a case study, a predictive model of the emerging health threat of obesity in America was developed which incorporated varying levels of three treatment strategies in an attempt to decrease the amount of overweight Americans over a ten-year period. The genetic algorithm was then...
Obesity is a risk factor for asthma. The purpose of this study was to determine whether metformin, an agent used in the treatment of another obesity-related condition, type II diabetes, might have therapeutic potential for airway smooth muscle (ASM) function in obesity.
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