259 research outputs found

    A faster learning neural network classifier using selective backpropagation

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    The problem of saturation in neural network classification problems is discussed. The listprop algorithm is presented which reduces saturation and dramatically increases the rate of convergence. The technique uses selective application of the backpropagation algorithm, such that training is only carried out for patterns which have not yet been learnt to a desired output activation tolerance. Furthermore, in the output layer, training is only carried out for weights connected to those output neurons in the output vector which are still in error, which further reduces neuron saturation and learning time. Results are presented for a 196-100-46 Multi-Layer Perceptron (MLP) neural network used for text-to-speech conversion, which show that convergence is achieved for up to 99.7% of the training set compared to at best 94.8% for standard backpropagation. Convergence is achieved in 38% of the time taken by the standard algorithm

    The MATCH project: collaboration between academia and industry

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    The university sector offers innovative research initiatives which industry should be tapping. Michael Craven, Senior Research Fellow at the University of Nottingham, reports on a unique collaboration between academia and industry that is helping companies assess the value of medical technology

    Routes and requirements for realizing pervasive medical devices

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    Deploying a spreadsheet tool for early economic value assessment of medical device innovations with healthcare decision makers

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    Early stage evaluation of medical device innovations is important for healthcare decision-makers as much as for manufacturers, meaning that a wider application of a basic cost-effectiveness analysis is becoming necessary outside the usual expert base of health technology assessment specialists. Resulting from an academic-industry-healthcare professional collaboration, a spreadsheet tool is described that was designed to be accessible both to professionals in healthcare delivery organisations and to innovators in the healthcare technology industry who are non-experts in the field of health economics. The tool enables a basic cost-effectiveness analysis to be carried out, using a simplified decision-tree model to compare costs and patient benefit for a new device-related procedure with that of standard care employing an incumbent device or other alternative. Such a tool is useful to healthcare professionals because it enables them to rapidly elucidate the cost-effectiveness of heterogeneous innovations by means of the standard quality adjusted life year (QALY) measure of clinical outcome, which is intended to be broadly comparable across treatments. For the innovator or manufacturer it helps them focus on what is required for future stages of development, in order to fill gaps in the input data and so further strengthen their case from a health economics perspective. Results are presented of first experiences from deploying the tool on three medical device exemplars, in face-to-face meetings of the NHS National Innovation Centre (NIC) along with the innovator or clinical champion. The results show that mapping of device-related innovations to the tool is achievable in a short meeting between the NIC and the innovator using expected costs, outcomes data from the literature and estimates of ranges for unknown input data. Whilst the result of a simplified analysis is not expected to be definitive, the process of reasoning is found to be illuminating for the parties involved, enabling innovators to articulate the benefits of their innovations and for all parties to highlight gaps in data and evidence that will be required to take the innovation forward. The partnership model of the authors’ organisation supports the kind of cooperative design approach that is necessary to produce the kind of tool described.---------------------------7dd39101208fa Content-Disposition: form-data; name="c14_creators_1_name_family" Crave

    Games to engage: increasing mental health awareness

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    In recent years there has been rapid growth in the development and use of digital tools in healthcare. One area of research interest is the use of games as tools to improve health and education. Gamification of health is a broad area that includes games aimed at encouraging healthy behaviours through motivation, 'exergaming, ' which explicitly aims to improve health through physical activity, 'serious games' that are intended to support therapies and rehabilitation, and games that support training, for example through simulation. Another area is public health awareness and education which is an area of current research in MindTech. [...] If done with care and sensitivity, bringing game elements into the toolkit of user-centred design methodologies for engaging people with research and mental health awareness has good potential and is worthy of continued attention

    Games to engage: increasing mental health awareness

    Get PDF
    In recent years there has been rapid growth in the development and use of digital tools in healthcare. One area of research interest is the use of games as tools to improve health and education. Gamification of health is a broad area that includes games aimed at encouraging healthy behaviours through motivation, 'exergaming, ' which explicitly aims to improve health through physical activity, 'serious games' that are intended to support therapies and rehabilitation, and games that support training, for example through simulation. Another area is public health awareness and education which is an area of current research in MindTech. [...] If done with care and sensitivity, bringing game elements into the toolkit of user-centred design methodologies for engaging people with research and mental health awareness has good potential and is worthy of continued attention

    Computer games for user engagement in attention deficit hyperactivity disorder (ADHD) monitoring and therapy

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    State-of-the-art computer games and psychological tests for symptom monitoring and therapy in Attention Deficit Hyperactivity Disorder (ADHD) are explored and reviewed. Three foci for research studies are identified: task (human performance) focus; educational focus; medical/clinical focus. It is found that game designs in the literature include a variety of tests of cognition mostly dependent on attention and executive functions (inhibitory motor control, working memory, interference suppression) which involve reactions to stimuli on computer (or mobile phone) screens. In addition, based on the measurement of neural pathways that can be accessed by Brain Computer Interfaces, there are several applications of games that employ biofeedback and demand the user to control aspects of their brain activity to play them, with the aim of improving function. A number of games have been used in clinical studies for self-monitoring and therapy, some of these controlled with comparators such as treatment as usual or cognitive therapies, or with the individual as their own control, where efficacy is evaluated by measuring behavioural and functional outcomes on measurement instruments such as ADHD or behavioural trait questionnaires or other cognitive tests. Other applications of games include education and raising awareness of mental health conditions to reduce stigma. The paper then presents and proposes designs of new games that are based on psychological tests or tasks that aim to monitor or improve attention, inhibitory and/or motor activity including Continuous Performance Tests, Go/No-go and Stop-signal tasks

    How does the healthcare industry involve users in medical device development? Pointers for UbiHealth

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    This paper introduces the Multidisciplinary Assessment of Technology Centre for Healthcare (MATCH) and outlines the problem of integrating a user-centred approach for development of medical devices together with the information and communication technology environments in which they are increasingly required to operate. We highlight some of the regulatory requirements that are relevant to user needs consideration in medical device development. Finally, we reveal a range of limitations in the current practice of the medical device industry in the area of user needs capture, based on responses from interviews with MATCH’s industry partners

    Computer games for user engagement in attention deficit hyperactivity disorder (ADHD) monitoring and therapy

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    State-of-the-art computer games and psychological tests for symptom monitoring and therapy in Attention Deficit Hyperactivity Disorder (ADHD) are explored and reviewed. Three foci for research studies are identified: task (human performance) focus; educational focus; medical/clinical focus. It is found that game designs in the literature include a variety of tests of cognition mostly dependent on attention and executive functions (inhibitory motor control, working memory, interference suppression) which involve reactions to stimuli on computer (or mobile phone) screens. In addition, based on the measurement of neural pathways that can be accessed by Brain Computer Interfaces, there are several applications of games that employ biofeedback and demand the user to control aspects of their brain activity to play them, with the aim of improving function. A number of games have been used in clinical studies for self-monitoring and therapy, some of these controlled with comparators such as treatment as usual or cognitive therapies, or with the individual as their own control, where efficacy is evaluated by measuring behavioural and functional outcomes on measurement instruments such as ADHD or behavioural trait questionnaires or other cognitive tests. Other applications of games include education and raising awareness of mental health conditions to reduce stigma. The paper then presents and proposes designs of new games that are based on psychological tests or tasks that aim to monitor or improve attention, inhibitory and/or motor activity including Continuous Performance Tests, Go/No-go and Stop-signal tasks

    NASA MSFC Electrostatic Levitator (ESL) Rapid Quench System

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    Electrostatic levitation, a form of containerless processing, is an important tool in materials research. Levitated specimens are free from contact with a container; therefore, heterogeneous nucleation on container walls is not possible. This allows studies of deeply undercooled melts. Furthermore, studies of hightemperature, highly reactive materials are also possible. Studies of the solidification and crystallization of undercooled melts is vital to the understanding of microstructure development, particularly the formation of alloys with unique properties by rapid solidification. The NASA Marshall Space Flight Center (MSFC) Electrostatic Levitator (ESL) lab has recently been upgraded to allow for rapid quenching of levitated materials. The ESL Rapid Quench System uses a small cruciblelike vessel that can be partially filled with a low melting point material, such as a Gallium alloy, as a quench medium. An undercooled sample can be dropped into the vessel to rapidly quench the sample. A carousel with nine vessels sits below the bottom electrode assembly. This system allows up to nine rapid quenches before having to break vacuum and remove the vessels. This new Rapid Quench System will allow materials science studies of undercooled materials and new materials development. In this presentation, the system is described and initial results are presented
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