A generic task-driven multi-agent telemedicine system.
Pervasive Telemedicine is an emerging research discipline, which focuses on the development and the application of ubiquitous computing technology for healthcare purposes. However, the current telemedicine systems lack to be self adaptable to handle different types of data such as vital biosignals, images, video and textual data. In addition, they do not use the full capabilities of the computing devices on which they run. Unfortunately, the existing telemedicine systems do not pay enough attention to the quality level of their offered services nor offer adequate resources management for meeting bandwidth and end-to-end communication delays. In this paper we propose an information and communication architecture of a generic telemedicine system based on a knowledge base and intelligent agents interacting each with the other in a synergetic way to perform several medical tasks for a high level of quality of service (QoS). The medical assistance to skiers and high mountains resorts residents will be used in particular as an example of applicability scenario and models personalization.
Nageba
Ebrahim
E
Methodologies of Information Processing, Cardiology research group, INSA de Lyon, INSERM ERM107 MTIC, Université de Lyon, BRON, F-69677, France. Ebrahim.Nageba@insa-lyon.fr
Fayn
Jocelyne
J
Rubel
Paul
P
D003195:Computer Communication Networks; D020000:Decision Support Systems, Clinical; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D005103:Expert Systems; D005602:France; D033181:Information Dissemination / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods; D016347:Medical Records Systems, Computerized; D017216:Telemedicine / Q000379:methods*; D014584:User-Computer Interface