Logic-Centered Architecture for Ubiquitous Health Monitoring

Lewandowski, J and Arochena, HE and Naguib, RNG and Chao, K-M and Garcia-Perez, A (2014) Logic-Centered Architecture for Ubiquitous Health Monitoring. IEEE Journal of Biomedical and Health Informatics, 18 (5). pp. 1525-1532. ISSN 2168-2194

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One of the key points to maintain and boost research and development in the area of smart wearable systems (SWS) is the development of integrated architectures for intelligent services, as well as wearable systems and devices for health and wellness management. This paper presents such a generic architecture for
multiparametric, intelligent and ubiquitous wireless sensing platforms. It is a transparent, smartphone-based sensing framework
with customizable wireless interfaces and plug‘n’play capability to easily interconnect third party sensor devices. It caters to wireless
body, personal, and near-me area networks. A pivotal part of the platform is the integrated inference engine/runtime environment
that allows the mobile device to serve as a user-adaptable personal health assistant. The novelty of this system lays in a rapid visual
development and remote deployment model. The complementary visual InferenceEngineEditor that comes with the package enables
artificial intelligence specialists, alongside with medical experts, to build data processing models by assembling different components
and instantly deploying them (remotely) on patient mobile devices. In this paper, the new logic-centered software architecture for ubiquitous health monitoring applications is described, followed by a
discussion as to how it helps to shift focus from software and hardware development, to medical and health process-centered design of new SWS applications.

Item Type: Article
Additional Information and Comments: (c) 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works."
Keywords: Artificial intelligence (AI), body sensor networks, remote monitoring, telemedicine, ubiquitous computing
Faculty / Department: Faculty of Science > Mathematics and Computer Science
Depositing User: Raouf Naguib
Date Deposited: 03 Jun 2016 13:29
Last Modified: 12 Jan 2018 02:28
URI: https://hira.hope.ac.uk/id/eprint/1401

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