Using mobile-based complex event processing to realize collaborative remote person monitoring

In this paper we present an application of the mobile-based distributed complex event processing for the collaborative remote person monitoring, a novel approach for the e-Health and Fitness domain that represents a kind of breakthrough for these domains. Indeed, so far remote monitoring has been focused on one individual person: the monitored person is equipped (wears) a sensor that sends data to the user's smartphone for storage, local (simple) analysis and upload to the server, where the data can be visualized and analyzed on request in off-line mode. Our, new, approach extends this processing pipeline with a) real-time feedback from the server-side processing in order to enable the detection of very complex situations and b) distribution of processing between several nodes (persons) in order to enable collaboration in detecting mentioned complex situations. The approach is applied in the development of the commercial solution for remote patient monitoring used in monitoring of the physical activities of grouped cardio patients in order to support collaborative detection of complex situations. In this paper we present the theoretical background of the approach and detail some most innovative elements. In addition we discuss the results from an ongoing piloting of this technology in a real healthcare environment: two hospitals. We argue that this approach opens many other opportunities to exploit collaborative potential of patient/person monitoring in various domains.