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Telemedicine systems can play an important role in the management of diabetes, a chronic condition that is increasing worldwide. Evaluations on the consistency of information across these systems and on their performance in a real situation are still missing. This paper presents a remote monitoring system for diabetes management based on physiological sensors, mobile technologies and patient/doctor...
This paper presents the design, the development and the evaluation of a personalized glucose prediction model for patients with Type 1 Diabetes Mellitus (T1DM). The personalized model is based on neuro-fuzzy techniques in order to capture the metabolic behavior of a patient with T1DM. Moreover, wavelets are applied as activation functions in order to enhance the prediction performance and avoid local...
Several students of Bioengineering complain about the excess of theoretical classes and the difficulty to assimilate the subject taught. This work presents a strategy to mix theory and practice when teaching, thus motivating students to engage in their studies.
Exploiting the full potential of telemedical systems means using platform based solutions: data are recovered from biomedical sensors, hospital information systems, care-givers, as well as patients themselves, and are processed and redistributed in an either centralized or, more probably, decentralized way. The integration of all these different devices, and interfaces, as well as the automated analysis...
Current trends in healthcare technology include mobile-based applications. Relevant advances in the integration of vital signs monitoring devices with mobile platforms are widely reported nowadays. In this context, conceiving and designing an interoperable application is essential due to the growing necessity of integrating a huge and heterogeneous amount of biomedical data, coming from a wide range...
Losing weight can be one of the toughest objectives related to diabetes treatment, especially for Type 2 diabetes mellitus. This paper describes a tool to set goals to achieve lifestyle behavioral changes, and keep track of the benefits derived from these changes. This strategy leans on the capability of evaluating users' compliance to treatment, identifying key points where the lack of motivation...
Dealing with a chronic disease and, more specifically, with Diabetes Mellitus and other metabolic disorders, represents a great challenge for care givers, patients and the Health Care Systems as their treatment requires continuous medical care and patient self management. The engagement of patients in the adoption of healthy lifestyles with a positive impact in the progression of their diseases is...
METABO is a diabetes monitoring and management system which aims at recording and interpreting patient's context, as well as, at providing decision support to both the patient and the doctor. The METABO system consists of (a) a Patient's Mobile Device (PMD), (b) different types of unobtrusive biosensors, (c) a Central Subsystem (CS) located remotely at the hospital and (d) the Control Panel (CP) from...
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