Ontology-driven monitoring of patient's vital signs enabling personalized medical detection and alert

A major challenge related to caring for patients with chronic conditions is the early detection of exacerbations of the disease. Medical personnel should be contacted immediately in order to intervene in time before an acute state is reached, ensuring patient safety. This paper proposes an approach to an ambient intelligence (AmI) framework supporting real-time remote monitoring of patients diagnosed with congestive heart failure (CHF). Its novelty is the integration of: (i) personalized monitoring of the patients health status and risk stage; (ii) intelligent alerting of the dedicated physician through the construction of medical workflows on-the-fly; and (iii) dynamic adaptation of the vital signs' monitoring environment on any available device or smart phone located in close proximity to the physician depending on new medical measurements, additional disease specifications or the failure of the infrastructure. The intelligence lies in the adoption of semantics providing for a personalized and automated emergency alerting that smoothly interacts with the physician, regardless of his location, ensuring timely intervention during an emergency. It is evaluated on a medical emergency scenario, where in the case of exceeded patient thresholds, medical personnel are localized and contacted, presenting ad hoc information on the patient's condition on the most suited device within the physician's reach

A platform for the development of patient applications in the domain of personalized health

Personalized health (p-health) systems can contribute significantly to the sustainability of healthcare systems, though their feasibility is yet to be proven. One of the problems related to their development is the lack of well-established development tools for this domain. As the p-health paradigm is focused on patient self-management, big challenges arise around the design and implementation of patient systems. This paper presents a reference platform created for the development of these applications, and shows the advantages of its adoption in a complex project dealing with cardio-vascular diseases

Ontology-driven monitoring of patient's vital signs enabling personalized medical detection and alert

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Towards Sensing Information Systems

Recent advances in the field of pervasive computing, including the approaches and technologies related to Wireless Sensor Networks (WSN), Internet of Things (IoT) and Cyber Physical Systems (CPS) are changing the way we perceive computing capability. Although the scientific communities have already started to discuss about the visionary concepts that will exploit these advances, such as Sensing and Liquid Enterprise, the truly smart and interoperable CPS networks are still confined to the ‘valley of death’ - between prototyping and mass-production. In this position paper, we propose the concept of Sensing Information System, a novel paradigm that will facilitate the transformation of CPS to Cyber Physical Ecosystems - borderless technical environments in which the devices will become capable to sense, perceive, decide and act, based on the external, common behavioural and context models. A case study is used to demonstrating the use of Sensing Information Systems for extended clinical workflows

Clinical Proteomics: From Biological Sample to Clinical Exploitation

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