242 research outputs found

    Adaptive Neural Network Imaging in Medical Systems

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    Recent technological advances in medicine has facilitated the development of sophisticated equipment enabling the better delivery of health care services. In parallel, artificial neural networks have emerged as promising tools for the application and implementation of intelligent systems. The aim of this paper is to provide a snapshot of the application of neural network systems in medical imaging. The paper highlights neural network applications in the analysis of cervicovaginal smears, mammography, microscopy, ultrasound imaging, and lesion placement in pallidotomy. It is anticipated that the application of neural network systems in medicine will provide the framework for the development of emerging medical systems, enabling the better delivery of health care

    Telematic requirements for emergency and disaster response derived from enterprise models

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    One of the prime objectives in disaster response management is to achieve full control of the situation as rapidly as possible. Coordination and communication facility therefore plays an essential role in managing disasters. This chapter discusses Enterprise Models that capture the invariant structures of medical emergency and disaster response management using notions like tasks, roles and agents. On one hand, these notions are generic enabling the model to cope with a broad range of events, from complex, dynamic and multifaceted disasters to more routine medical emergency cases. On the other hand, refinements of the models to specialized cases reveal the coordination and communication needs which are aligned with the context (i.e. the task objectives). This paves the way for dynamic selections of computing and network resource alternatives, possibly scarcely available on the scene, that match with the coordination and communication needs, for instance, hand-offs to a better communication alternative, possibly using a different wireless technology. The Enterprise models, which separate roles responsible for the tasks from the agents assigned to those roles, have the advantage that roles can be virtually moved to the scene of the disaster without the need to transport all agents to the scene. This latter is a simple form of an augmented reality environment, which brings on-site reality at the scene of the disaster into the scope of command and control of off-site teams or team members. A mobile telematic system is needed to bridge the coordination and communication spatial gap between roles or agents; its requirements however can be derived from the Enterprise models

    Mobihealth: mobile services for health professionals

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    The concept behind the MobiHealth project (MobiHealth, 2002) was to bring together the technologies of Body Area Networks (BANs), wireless broadband communications and wearable devices to provide mobile healthcare services for patients and health professionals. For patients, these technologies enable remote patient care services such as management of chronic conditions and detection of health emergencies. For health professionals the technology offers access to information and communication services from a mobile device, thus enabling mobility for the individual professional and supporting the operation of distributed ‘virtual' healthcare teams (sensu Pitsillides, 1999)

    Mobihealth: mobile health services based on body area networks

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    In this chapter we describe the concept of MobiHealth and the approach developed during the MobiHealth project (MobiHealth, 2002). The concept was to bring together the technologies of Body Area Networks (BANs), wireless broadband communications and wearable medical devices to provide mobile healthcare services for patients and health professionals. These technologies enable remote patient care services such as management of chronic conditions and detection of health emergencies. Because the patient is free to move anywhere whilst wearing the MobiHealth BAN, patient mobility is maximised. The vision is that patients can enjoy enhanced freedom and quality of life through avoidance or reduction of hospital stays. For the health services it means that pressure on overstretched hospital services can be alleviated

    An Overview of Recent Health Care Support Systems for eEmergency and mHhealth Applications

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    Advances in mobile communications and medical technologies facilitate the development of emerging mobile systems and applications for healthcare. The objective of this paper is to provide an overview and the current status of mobile health care systems (mHealth) and their applications for Emergency healthcare support (eEmergency). Our paper reports on journal papers that use wireless, emergency telemedicine systems that appeared since 2000. The majority of the applications are focused on the transmission of crucial biosignals (mainly ECG) for the support of heart-related healthcare. A limited number of new studies were focused on supporting emergency healthcare for trauma by facilitating both 2D image or video transmission (eg: ultrasound). Alternatively, new studies have focused on integrated systems for specialized emergency scenaria such as stroke. This paper is an extension of work previously published by our group

    Alterations in trabecular bone μ-architecture and cartilages in rats with antigen-induced arthritis (AIA) resulting from synchrotron-based X-ray imaging analysis

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    It is widely demonstrated that phase contrast imaging yields better contrast resolution on soft-tissue with respect to conventional absorption radiography. In this feasibility study an application of synchrotron radiation imaging for arthritic bone erosion is presented. In particular two phase-contrast imaging techniques are investigated and analyzed in order to differentiate different aspects of bone microarchitecture and cartilages, with the ultimate aim to demonstrate the translation of the technique in in-vivo studies
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