title: A distributed shared data space for personal health systems.
abstract: Ubiquitous computing is a promising paradigm to support health care outside traditional care institutes. Sensor-based systems may continuously collect data on a person's health status and context, and provide immediate feedback or contact a remote physician. This paper presents a novel programming model to facilitate the development of such systems. The model, which has been inspired by tuple spaces, offers robustness for ad hoc mobile environments and explicit support for data streams.
authors.affiliation: Philips Research, Eindhoven, Netherlands. wim.stut@philips.com
authors.forename: Wim
authors.initials: W
authors.lastname: Stut
authors.forename: Frank
authors.initials: F
authors.lastname: Wartena
authors.forename: Maarten
authors.initials: M
authors.lastname: van Steen
mesh_terms: D006304:Health Status; D006801:Humans; D008991:Monitoring, Physiologic / Q000295:instrumentation*; D009426:Netherlands; D011381:Programming Languages