Leveraging dynamic user profiles for the assistance of anxiety disorders' treatment using inferential rules.

While anxiety disorders exhibit an impressive spread especially in western societies, context-awareness seems a promising technology to provide assistance to physicians in psychotherapy sessions. In the present paper an approach addressing the assistance of the anxiety disorders' treatment is proposed. The suggested method employs the a priori association rule mining algorithm in order to achieve dynamic update of patient profiles according to generated rules describing the underlying relations between patients' main context conditions and their stress level. This method was evaluated by therapists specializing in the mental health domain and the feedback received was very encouraging with respect to the assistance dynamic patient profiles offer, during CBT sessions.

Establishing telemedicine system to support urgent incidents around the borderline of Greece: implemented architecture and evaluation.

An evaluation of a wide area Telemedicine System (TS) designed for a country with singular geomorphology like Greece is presented. It targets to improve the outcome in emergency cases, by means of an early and specialized pre-hospital treatment. The TS makes use of modern technologies leading to the cooperation of 30 mobile medical units, 3 Telemedicine Coordination Centers and 7 Regional Teleconference Rooms. An adaptive protocol is used to reduce the data transmission time and the resources required for archiving. An automated network switching keeps the communication live in most cases while a telemedicine service co-ordinates all the co-operating endpoints, providing call and connection management, remote healthcare assistance, teleconference capabilities and real-time vital signs' transmission.

Dynamic biosignal management and transmission during telemedicine incidents handled by Mobile Units over diverse network types.

Early and specialized pre-hospital patient treatment improves outcome in terms of mortality and morbidity, in emergency cases. This paper focuses on the design and implementation of a telemedicine system that supports diverse types of endpoints including moving transports (MT) (ambulances, ships, planes, etc.), handheld devices and fixed units, using diverse communication networks. Target of the above telemedicine system is the pre-hospital patient treatment. While vital sign transmission is prior to other services provided by the telemedicine system (videoconference, remote management, voice calls etc.), a predefined algorithm controls provision and quality of the other services. A distributed database system controlled by a central server, aims to manage patient attributes, exams and incidents handled by different Telemedicine Coordination Centers (TCC).