Service intelligence support for medical sensor networks in personalized mobile health systems

Abstract

Mobile health (m-Health) scenarios form an important direction for enhancing “traditional” healthcare systems. The latter implement backend services for use primarily by medical personnel and typically at hospitals. Current development meets with the challenge of personal data inclusion to the whole healthcare system with subsequent “smart” service construction and delivery. This paper makes a step towards the concept development of intelligence support in personalized m-Health systems. We study a reference architectural model that aims at intelligent utilization of personal mobile data in generic health services. Each personalized m-Health system contains the patient’s medical sensor network (MSN). To support the service intelligence we employ the smart spaces paradigm with its prominent technologies adopted from the Internet of Things (IoT) and Semantic Web.