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Background Research shows that more than half of the people taking medication for a chronic condition are non-adherent. Nonadherence hinders disease control with a burden on patient quality of life and healthcare systems. We developed a tool that provides insight into nonadherence risks and barriers for medication-adherence including an intervention strategy to overcome those barriers. This study...
This paper presents Peer Matcher, a fully decentralized algorithm solving the k-clique matching problem. The aim of k-clique matching is to cluster a set of nodes having pair wise weights into k-size groups of maximal total weight. Since solving the problem requires exponential time, Peer Matcher employs a novel set of heuristics that aim at converging to the optimal grouping while keeping the associated...
A transformation is underway regarding how we deal with our health, not only because mobile Internet technology has made it possible to have continuous access to personal health information, but also because breaking the trend of ever-growing healthcare costs is increasingly necessary. Connectivity, interoperability, sensing, and instant feedback through smartphones all provide new opportunities for...
Understanding the social dynamics of a group of people can give new insights into social behavior. Physical proximity between individuals results from the interactions between them. Hence, measuring physical proximity is an important step towards a better understanding of social behavior. We discuss a novel approach to sense proximity from within the social dynamics. Our primary objective is to construct...
This paper reports on the design of a vision-based exercise monitoring system. The system aims to promote well-being by making exercise sessions enjoyable experiences, either through real-time interaction and instructions proposed to the user, or via experience sharing or group gaming with peers in a virtual community. The use of avatars is explored as means of representation of the user’s exercise...
Context-awareness (CA) enables the development of personalized pervasive services. Current context-aware infrastructures focus on middleware solutions to support acquisition, usage and management of context. However, using context requires the CA application to create a binding between itself and one or more context producing entities. Creating this binding is the responsibility of the CA application...
This paper proposes a framework for patient's vital sign representations. This framework offers the flexibility to extend or to augment represented vital signs, e.g. with trend signs or professional's annotations. It further enables multi standard representations of vital signs and meta-level information for processing of represented vital signs. Vital signs represented in accordance with this framework...
This paper proposes a framework for patient's vital sign representations. This framework offers the flexibility to extend or to augment represented vital signs, e.g. with trend signs or professional's annotations. It further enables multi standard representations of vital signs and meta-level information for processing of represented vital signs. Vital signs represented in accordance with this framework...
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