Mobile telemedical applications are of crucial importance today as they do offer the potential to improve the quality of the health care related services. It has been proven that the leading cause of several illnesses and diseases are stress and the lack of fitness practices. Based on that, a system capable of estimating and monitoring both stress and fitness levels without a physical consultation of a medical specialist is presented in this work. A correlation between physiological parameters and stress or fitness is explored in the developed intelligent expert system. In order to enable the implementation of such a complex system, a flexible Telematics Platform is conceived. This Telematics Platform does guarantee a secure data communication involving encryption and a suitable visualization of the fitness and stress assessment results on both the patient's mobile phone and on a web-based portal. Moreover, the platform is scalable and can therefore be easily extended in order to support different kinds of telemedical applications. The system presented in this paper does enable the efficient and cost-effective stress and fitness monitoring of patients while being at home or practicing their daily jobs with their subsequent eventual mobility.

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Positive feedback from both medical care providers and patients confirms a high potential for mobile teledermatology as a means of dermatological healthcare delivery.

Lack of regular physical activity and high stress levels are the leading causes of several illnesses. There is thus a real need for a personal low-cost and mobile monitoring solution over extended periods to prevent health risks. Based on the above fact, this article presents a system capable of estimating and monitoring both stress and fitness levels without a physical consultation of a medical specialist. The system consists of three main subcomponents: a mobile real-time acquisition of physiological as well as subjective data, an expert model for stress and fitness estimations based on physiological signals collected from wireless vital sensors, and a secure and scalable telematics platform on which the entire system is embedded. Features and tasks performed by the telematics platform will be presented. The experimental part of the work involved a representative number of subjects. Results for 110 subjects whose fitness levels were assessed at different periods of the year and 50 individuals whose stress scores were assessed at different times of the day showed a high correlation of the estimated values with the true ones. The application of such a low-cost monitoring system will improve the quality of service in preventive medicine.

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