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In recent years, with the growth of home appliance usage and the Internet, networked devices have become more widely used in more diverse applications than ever before. This widespread adoption will require new and novel platforms to abstract the difficulties associated with the exploitation of devices and help overcome the inherent limitations associated(More)
User demands and technological advances are moving us closer to the pervasive computing vision. The home of the future includes networked appliances that publish the functions they offer as intelligent middleware services providing flexible, intuitive and zero-maintenance mechanisms for dynamic service composition, deployment, extensibility, management and(More)
Recent technological advances in Micro Electro Mechanical Systems (MEMS) have enabled the design of lowcost, lightweight sensor nodes capable of sensing, processing and communicating different types of data. These tiny sensor nodes leverage the ideas found in Wireless Sensor Networks (WSNs) and this has lead to a large number of applications in the health(More)
The proliferation of networked appliances and the complex functions they provide make it ever harder for a specialist, let alone an ordinary home user, to configure them to provide a given service. The use of flexible middleware architectures, combined with application level services will allow for better exploitation of these features both for the benefit(More)
There has been some improvement in the treatment of preterm infants, which has helped to increase their chance of survival. However, the rate of premature births is still globally increasing. As a result, this group of infants are most at risk of developing severe medical conditions that can affect the respiratory, gastrointestinal, immune, central nervous,(More)
Technology plays an important role in both primary and secondary healthcare. With widespread use of mobile devices and ubiquitous communications, new and novel platforms are emerging to administer care. Ordinary and everyday appliances used in the home are becoming integral components within these platforms and this could potentially revolutionise how(More)
Globally, the rate of preterm births are increasing, thus resulting in significant health, development and economic problems. Current methods for the early detection of such births are inadequate. Nevertheless, there has been some evidence that the analysis of uterine electrical signals, collected from the abdominal surface, could provide an independent and(More)
Heart failure comes in the top causes of death worldwide. The number of deaths from heart failure exceeds the number of deaths resulting from any other causes. Recent studies have focused on the use of machine learning techniques to develop predictive models that are able to predict the incidence of heart failure. The majority of these studies have used a(More)
OBJECTIVE Our prespecified dose-response analyses of A Very Early Rehabilitation Trial (AVERT) aim to provide practical guidance for clinicians on the timing, frequency, and amount of mobilization following acute stroke. METHODS Eligible patients were aged ≥18 years, had confirmed first (or recurrent) stroke, and were admitted to a stroke unit within 24(More)
• Services that capture the general consensus within peer responses in terms of semantic categorisation. Abstract Distributing semantic information in P2P networks enables knowledge management solutions to regress from centralised knowledge representations reliant on global consensus. This allows distributed peers to create and share knowledge with other(More)