Adaptation Issues in Software Architectures of Remote Health Care Systems

In this text we identify relevant adaptation issues concerning the software architecture of a system for intelligent health monitoring of a person at home. Our solution integrates medical knowledge, patient's physiological and behavioral data, and environmental conditions. The designed software architecture includes modules for context management, alarm generation, reasoning and learning. A fuzzy logic model, and rules based on medical recommendations, helps analyzing and identifying critical situations of the patient. In this scenario, ubiquitous computing has an important role allowing the non-intrusive monitoring of several relevant context variables. Considering this infrastructure, we argue that configuration management and context management are key mechanisms to support the adaptation requirements of the target class of applications. Finally, we describe our approach towards tackling the related architecture adaptation issues