495 research outputs found

    N<i>e</i>XOS – the design, development and evaluation of a rehabilitation system for the lower limbs

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    Recent years have seen the development of a number of automated and semi-automated systems to support for physiotherapy and rehabilitation. These deploy a range of technologies from highly complex purpose built systems to approaches based around the use of industrial robots operating either individually or in combination for applications ranging from stroke to mobility enhancement. The NeXOS project set out to investigate an approach to the rehabilitation of the lower limbs in a way which brought together expertise in engineering design and mechatronics with specilists in rehabilitation and physiotherapy. The resulting system has resulted in a prototype of a system which is capable in operating in a number of modes from fully independent to providing direct support to a physiotherapist during manipulation of the limb. Designed around a low cost approach for an implementation ultimately capable of use in a patients home using web-baased strategies for communication with their support team, the prototype NeXOS system has validated the adoption of an integrated approach to its development. The paper considers this design and development process and provides the results from the initial tests with physiotherapists to establish the operational basis for clinical implementation

    SAFE: A System for Extraction and Retrieval of Semantic Audio Descriptors

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    date-added: 2014-08-02 10:04:50 +0000 date-modified: 2014-11-26 17:42:49 +0000 keywords: semantic audio, VST plugins, data collection, ISMIR demoIn this paper, we present an overview of the Semantic Audio Feature Extraction (SAFE) Project, a system for the extraction and retrieval of semantic descriptions of musical timbre, deployed within the digital audio workstation. By embedding the data capture system into the music production workflow, we are able to maximise the return of semantically annotated music production data, whilst mit- igating against issues such as musical and environmental bias. Users of the plugins are free to submit semantic de- scriptions of their own music, whilst utilising the continually growing collaborative dataset of musical descriptors. In order to provide more contextually representative timbral transformations, the dataset is partitioned using metadata, captured within the application

    The state of the art in non-pharmacological interventions for developmental stuttering. Part 2: qualitative evidence synthesis of views and experiences.

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    BACKGROUND: A range of interventions have been developed to treat stuttering in recent years. The effectiveness of these interventions has largely been assessed in studies focusing on the impact of specific types of therapy on patient outcomes. Relatively little is known about the factors that influence how the delivery and impact of different types of intervention may be experienced from the perspective of both people who deliver as well as those who receive interventions. AIMS: To synthesize the available evidence in relation to factors that might enhance or mitigate against successful outcomes following interventions for stuttering by identifying and synthesizing relevant qualitative research that explored the experiences of people delivering and receiving interventions that aim to improve fluency. METHODS & PROCEDURES: We carried out a systematic review including research that had used in-depth interviews and focus groups and conducted a substantive qualitative analysis of the data collected. Included study populations were either adults or children affected by a diagnosed stutter and/or providers of therapy for stuttering. An iterative approach was used to search for published qualitative evidence in relevant databases from 1990 to 2014. Retrieved citations were sifted for relevance and the data from articles that met the inclusion criteria were extracted. Each included paper was assessed for quality and a thematic analysis and synthesis of findings was carried out. MAIN CONTRIBUTION: Synthesized qualitative evidence highlights the changing experiences for people who stutter both historically and, for individuals, over the life course. Barriers and facilitators to the implementation of interventions for stuttering are encountered at the individual, intervention, interpersonal and social levels. Interventions may be particularly pertinent at certain transition points in the life course. Attention to emotional as well as practical aspects of stuttering is valued by people receiving therapy. The client-therapist relationship and support from others are also key factors in achieving successful outcomes. CONCLUSIONS & IMPLICATIONS: A synthesis of qualitative findings from published papers has added to the effectiveness data reported in an accompanying paper in understanding how stuttering impacts on people across the life course. Evidence suggests that a client-centred and individually tailored approach enhances the likelihood of successful intervention outcomes through attention to emotional, situational and practical needs

    Mapping the contribution of Allied Health Professions to the wider public health workforce : a rapid review of evidence-based interventions

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    Objectives: The objective was to identify a selection of the best examples of the public health contributions by Allied Health Professionals (AHPs) in order to encourage a wider awareness and participation from that workforce to public health practice. Study design: A mapping exercise was used to identify evidence-based interventions that could lead to health improvements across a population. Methods: A rapid review was undertaken to identify evidence, followed by a survey of Allied Health Profession (AHP) practitioners and an expert panel consensus method to select the examples of AHP public health interventions. Results: Nine evidence-based interventions are identified and selected as examples of current AHP good practice. These examples represent a contribution to public health and include screening interventions, secondary prevention and risk management. Conclusions: This study contributes to a strategy for AHPs in public health by appraising the effectiveness and impact of some exemplar AHP practices that contribute to health improvement. There is a need for AHPs to measure the impact of their interventions and to demonstrate evidence of outcomes at population level. Keywords: allied health professions; Applied Health Professionals; evidence-based practice; health improvement; public health; rapid revie

    Communication and Low Mood (CALM): a randomized controlled trial of behavioural therapy for stroke patients with aphasia

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    Objective: The aim was to evaluate behavioural therapy as a treatment for low mood in people with aphasia. Design: A randomized controlled trial comparing behavioural therapy plus usual care with a usual care control. Potential participants with aphasia after stroke were screened for the presence of low mood. Those who met the criteria and gave consent were randomly allocated. Setting: Participants were recruited from hospital wards, community rehabilitation, speech and language therapy services and stroke groups. Subjects: Of 511 people with aphasia identified, 105 had low mood and were recruited. Interventions: Behavioural therapy was offered for up to three months. Outcomes were assessed three and six months after random allocation. Main measures: Stroke Aphasic Depression Questionnaire, Visual Analog Mood Scales ‘sad’ item, and Visual Analogue Self-Esteem Scale. Results: Participants were aged 29 to 94 years (mean 67.0, SD 13.5) and 66 (63%) were men. Regression analysis showed that at three months, when baseline values and communication impairment were controlled for, group allocation was a significant predictor of the Stroke Aphasic Depression Questionnaire (P < 0.05), visual analogue ‘sad’ (P = 0.03), and Visual Analogue Self-Esteem Scale (P < 0.01). At six months, group alone was a significant predictor of the Stroke Aphasic Depression Questionnaire (P < 0.05), and remained significant when baseline values were controlled for (P = 0.02). Mean Stroke Aphasic Depression Questionnaire 10-item hospital version scores decreased from baseline to six months by six points in the intervention group as compared with an increase of 1.9 points in the control group. Conclusions: Behavioural therapy seemed to improve the mood of people with aphasia

    Towards Fully Integrated Real-time Detection Framework for Online Contents Analysis - RED-Alert Approach

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    Social media is extensively used nowadays and is gaining popularity among the users with the increasing growth in the network capacity, connectivity, and speed. Moreover, affordable prices of data plans, especially mobile data packages, have considerably increased the use of multimedia by different users. This includes terrorists who use social media platforms to promote their ideology and intimidate their adversaries. It is therefore very important to develop automated solutions to semantically analyse online contents to assist law enforcement agencies in the preventive policing of online activities. A major challenge for the social media forensic analysis is to preserve the privacy of citizens who use online social networking platforms. This paper presents results of European H2020 project RED-Alert that aims to enable secure and privacy preserving data processing; hence the malicious content and the corresponding personality can be ethically tracked. We have mined seven social media channels for content and providing support for ten languages for analysis. Our proposed solution is designed to ensure security and policing of online contents by detecting terrorist material. We have used social network analysis, speech recognition, face and object detection besides audio event detection to extract information from online sources that are fed in a complex event processor. We have discussed the challenges and prospects of this work especially the need of analysing online contents while respecting European and national data protection laws notably GDPR

    Prevalence of people who could benefit from augmentative and alternative communication (AAC) in the UK: determining the need.

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    BACKGROUND: Commissioners and providers require information relating to the number of people requiring a service in order to ensure provision is appropriate and equitable for the population they serve. There is little epidemiological evidence available regarding the prevalence of people who could benefit from augmentative and alternative communication (AAC) in the UK. AIM: To determine the prevalence of people who could benefit from AAC in the UK. METHODS & PROCEDURES: An epidemiological approach was taken to create a new estimate of need: the prevalence of the main medical conditions and specific symptoms leading to the requirement for AAC were identified from the literature and AAC specialists were consulted to estimate the number of people who may require AAC. OUTCOMES & RESULTS: A total of 97.8% of the total number of people who could benefit from AAC have nine medical conditions: dementia, Parkinson's disease, autism, learning disability, stroke, cerebral palsy, head injury, multiple sclerosis and motor neurone disease. The total expectation is that 536 people per 100 000 of the UK population (approximately 0.5%) could benefit from AAC. CONCLUSIONS & IMPLICATIONS: To provide accurate figures on the potential need for and use of AAC, data need to be consistently and accurately recorded and regularly reviewed at a community level. The existing data suggest an urgent need for more accurate and up to date information to be captured about the need for AAC in the UK to provide better services and ensure access to AAC strategies, equipment and support

    Melatonin Patterns and Levels During the Human Menstrual Cycle and After Menopause

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    Context: Melatonin may play a role in the regulation of the human menstrual cycle and may decline with menopause and/or aging. Objective: The objective of this work is to investigate the relations between melatonin and the menstrual cycle, menopause, and aging. Methods: This was a cross-sectional and longitudinal analysis of 20 participants from the Study of Women\u27s Health Across the Nation (SWAN) Daily Hormone Study (DHS). The outcome measure was first-morning urine assay of 6-sulfatoxymelatonin (aMT6s), a gauge of melatonin. For each participant, aMT6s was measured daily during one premenopausal cycle with evidence of luteal activity (ELA) and one postmenopausal collection with no evidence of luteal activity (NELA). Results: In addition to the organized patterns of hormone metabolites (estrone conjugates [E1c], and pregnanediol glucuronide [PdG]) and gonadotropins that characterized ovulatory menstrual cycles, there was a late luteal rise in aMT6s. In NELA collections, there was no periodicity of E1c, PdG, gonadotropins, or aMT6s. The strongest predictors of aMT6s levels were PdG values 11 to 12 days prior to aMT6s (beta = 1.46, P = .001 and beta = 1.44, P = .001, respectively). E1c and gonadotropins were not statistically significantly associated with aMT6s. Mean aMT6s in premenopause was 53.5 ng/mL, greater than the mean of 37.4 ng/mL in postmenopausal samples from the same women (P = .0002). Conclusions: This study confirms a late luteal melatonin rise, likely signaled by progesterone, which may influence menstrual cycle pacemaker control. Melatonin declined from premenopause to postmenopause. A high correlation between menopause transition stage and age precludes distinction between the influences of ovarian and chronological aging
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