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Sökning: AMNE:(MEDICIN OCH HÄLSOVETENSKAP Klinisk medicin Neurologi) > Högskolan i Halmstad

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1.
  • Lethin, Connie, et al. (författare)
  • Formal support for informal caregivers to older persons with dementia through the course of the disease: an exploratory, cross-sectional study
  • 2016
  • Ingår i: BMC Geriatrics. - London : Springer Science and Business Media LLC. - 1471-2318. ; 16:1
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: In European countries, knowledge about availability and utilization of support for informal caregivers caring for older persons (>= 65 years) with dementia (PwD) is lacking. To be able to evaluate and develop the dementia support system for informal caregivers to PwD, a survey of European support systems and professionals involved is needed. The aim of this study was to explore support for informal caregivers to PwD in European countries. We investigated the availability and utilization of support in each of the participating countries, and the professional care providers involved, through the dementia disease. Methods: A mapping system was used in 2010-2011 to gather information about estimations of availability, utilization, and professional providers of support to informal caregivers caring for PwD. Data collected was representing each country as a whole. Results: There was high availability of counselling, caregiver support, and education from the diagnosis to the intermediate stage, with a decrease in the late to end of life stage. Utilization was low, although there was a small increase in the intermediate stage. Day care and respite care were highly available in the diagnosis to the intermediate stage, with a decrease in the late to end of life stage, but both types of care were utilized by few or no caregivers through any of the disease stages. Professionals specialized in dementia (Bachelor to Master's degree) provided counselling and education, whereas caregiver support for informal caregivers and day care, respite care, and respite care at home were provided by professionals with education ranging from upper secondary schooling to a Master's degree. Conclusions: Counselling, caregiver support, and education were highly available in European countries from diagnosis to the intermediate stage of the dementia disease, decreasing in the late/end of life stages but were rarely utilized. Countries with care systems based on national guidelines for dementia care seem to be more aware of the importance of professionals specialized in dementia care when providing support to informal caregivers. Mapping the systems of support for informal caregivers of PwD is a valuable tool for evaluating existing systems, internationally, nationally and locally for policy making.
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2.
  • Gyrling, Therese, et al. (författare)
  • The impact of dance activities on the health of persons with Parkinson’s disease in Sweden
  • 2021
  • Ingår i: International Journal of Qualitative Studies on Health and Well-being. - Oxfordshire : Taylor & Francis. - 1748-2623 .- 1748-2631. ; 16:1, s. 1-10
  • Tidskriftsartikel (refereegranskat)abstract
    • Purpose: Parkinson’s disease (PD) is associated with motor and non-motor symptoms that negatively influence the person’s quality of life. To reduce illness and increase quality of life, alternative treatments of PD such as dance might be experienced as beneficial. The aim of this study was to explore experiences of how a dance program in Sweden influences perceived physical, social, and emotional wellbeing in persons with PD.Method: A qualitative method with semi-structured interviews and content analysis was used, and 10 participants with variations in age, gender, and how long they had been diagnosed with the disease were interviewed.Results: The results showed that dancing was experienced as improving health, which implied feeling both calmed and excited, getting better sleep, and being able to move with more focus and freedom. The dance program was experienced as a social context through the importance of community, feelings of togetherness, and being able to compare oneself with others. Experiences of self-support included experiencing increased self-esteem and joy, but also a sense of being confirmed and having structure, which gave meaning to everyday life.Conclusions: To reduce illness and increase quality of life in persons with PD, it is important to investigate alternative treatment methods, and this study shows the importance of participating in a dance program in Sweden for the life situation and health of people with PD.
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3.
  • Schmelz, M., et al. (författare)
  • Active "itch fibers" in chronic pruritus
  • 2003
  • Ingår i: Neurology. - : Lippincott Williams & Wilkins. - 0028-3878 .- 1526-632X. ; 61:4, s. 564-566
  • Tidskriftsartikel (refereegranskat)abstract
    • An itch-specific neuronal pathway was recently discovered in healthy humans and animals. Here the authors report that activity in this specific pathway coincides with itch under pathophysiologic conditions in a patient with chronic pruritus. Microneurographic recordings from the symptomatic area revealed spontaneous activity in six single C-fiber afferents that had the characteristic features of "itch fibers." Itch may be caused by activity in a specific subpopulation of C-fiber afferents.
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4.
  • Örstavik, K., et al. (författare)
  • Abnormal function of C-fibers in patients with diabetic neuropathy
  • 2006
  • Ingår i: Journal of Neuroscience. - Washington DC, USA : The Society for Neuroscience. - 0270-6474 .- 1529-2401. ; 26:44, s. 11287-11294
  • Tidskriftsartikel (refereegranskat)abstract
    • The mechanisms underlying the development of painful and nonpainful neuropathy associated with diabetes mellitus are unclear. We have obtained microneurographic recordings from unmyelinated fibers in eight patients with diabetes mellitus, five with painful neuropathy, and three with neuropathy without pain. All eight patients had large-fiber neuropathy, and seven patients had pathological thermal thresholds in their feet, indicating the involvement of small-caliber nerve fibers. A total of 163 C-fibers were recorded at knee level from the common peroneal nerve in the patients (36-67 years old), and these were compared with 77 C-fibers from healthy controls (41-64 years old). The ratio of mechano-responsive to mechano-insensitive nociceptors was similar to 2:1 in the healthy controls, whereas in the patients, it was 1:2. In patients, a fairly large percentage of characterized fibers (12.5% in nonpainful and 18.9% in painful neuropathy) resembled mechano-responsive nociceptors that had lost their mechanical and heat responsiveness. Such fibers were rarely encountered in age-matched controls (3.2%). Afferent fibers with spontaneous activity or mechanical sensitization were found in both patient groups. We conclude that small-fiber neuropathy in diabetes affects receptive properties of nociceptors that leads to an impairment of mechano-responsive nociceptors.
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5.
  • Etminani, Kobra, 1984-, et al. (författare)
  • A 3D deep learning model to predict the diagnosis of dementia with Lewy bodies, Alzheimers disease, and mild cognitive impairment using brain 18F-FDG PET
  • 2022
  • Ingår i: European Journal of Nuclear Medicine and Molecular Imaging. - New York : Springer. - 1619-7070 .- 1619-7089. ; 49, s. 563-584
  • Tidskriftsartikel (refereegranskat)abstract
    • Purpose The purpose of this study is to develop and validate a 3D deep learning model that predicts the final clinical diagnosis of Alzheimers disease (AD), dementia with Lewy bodies (DLB), mild cognitive impairment due to Alzheimers disease (MCI-AD), and cognitively normal (CN) using fluorine 18 fluorodeoxyglucose PET (18F-FDG PET) and compare models performance to that of multiple expert nuclear medicine physicians readers. Materials and methods Retrospective 18F-FDG PET scans for AD, MCI-AD, and CN were collected from Alzheimers disease neuroimaging initiative (556 patients from 2005 to 2020), and CN and DLB cases were from European DLB Consortium (201 patients from 2005 to 2018). The introduced 3D convolutional neural network was trained using 90% of the data and externally tested using 10% as well as comparison to human readers on the same independent test set. The models performance was analyzed with sensitivity, specificity, precision, F1 score, receiver operating characteristic (ROC). The regional metabolic changes driving classification were visualized using uniform manifold approximation and projection (UMAP) and network attention. Results The proposed model achieved area under the ROC curve of 96.2% (95% confidence interval: 90.6-100) on predicting the final diagnosis of DLB in the independent test set, 96.4% (92.7-100) in AD, 71.4% (51.6-91.2) in MCI-AD, and 94.7% (90-99.5) in CN, which in ROC space outperformed human readers performance. The network attention depicted the posterior cingulate cortex is important for each neurodegenerative disease, and the UMAP visualization of the extracted features by the proposed model demonstrates the reality of development of the given disorders. Conclusion Using only 18F-FDG PET of the brain, a 3D deep learning model could predict the final diagnosis of the most common neurodegenerative disorders which achieved a competitive performance compared to the human readers as well as their consensus.
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6.
  • Snögren, Maria, et al. (författare)
  • Description of functional disability among younger stroke patients: exploration of activity and participation and environmental factors.
  • 2009
  • Ingår i: International journal of rehabilitation research. Internationale Zeitschrift für Rehabilitationsforschung. Revue internationale de recherches de réadaptation. - Philadelphia, USA : Lippincott Williams & Wilkins. - 1473-5660 .- 0342-5282. ; 32:2, s. 124-31
  • Tidskriftsartikel (refereegranskat)abstract
    • The aim of the study is to describe disability among younger stroke patients by analyzing activity and participation and the environmental aspect as well as to compare assessed and self-perceived problems after stroke. International Classification of Functioning and Health (ICF) is a tool that provides a scientific basis for understanding and studying health and health-related states. ICF core sets have been developed to increase the usefulness of ICF in everyday practice and were gathered for 71 younger persons with stroke by interviews. Self-perceived problems were assessed with the Stroke Impact Scale. The data are presented by their most common categories in activity and participation and environmental factors. The ICF core sets and the SIS identified different things as being the most difficult. The problems that are most obvious in an assessment are activity and participation and the environmental factors are more difficult to assess. The study shows that there are broad spectra of problems among younger stroke patients mainly identified in the area of activity and participation. Assessed and perceived problems are not always the same, which is of clinical importance.
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7.
  • Aghanavesi, Somayeh, 1981-, et al. (författare)
  • Feasibility of Using Dynamic Time Warping to Measure Motor States in Parkinson’s Disease
  • 2020
  • Ingår i: Journal of Sensors. - London : Hindawi Publishing Corporation. - 1687-725X .- 1687-7268. ; , s. 1-14
  • Tidskriftsartikel (refereegranskat)abstract
    • The aim of this paper is to investigate the feasibility of using the Dynamic Time Warping (DTW) method to measure motor states in advanced Parkinson's disease (PD). Data were collected from 19 PD patients who experimented leg agility motor tests with motion sensors on their ankles once before and multiple times after an administration of 150% of their normal daily dose of medication. Experiments of 22 healthy controls were included. Three movement disorder specialists rated the motor states of the patients according to Treatment Response Scale (TRS) using recorded videos of the experiments. A DTW-based motor state distance score (DDS) was constructed using the acceleration and gyroscope signals collected during leg agility motor tests. Mean DDS showed similar trends to mean TRS scores across the test occasions. Mean DDS was able to differentiate between PD patients at Off and On motor states. DDS was able to classify the motor state changes with good accuracy (82%). The PD patients who showed more response to medication were selected using the TRS scale, and the most related DTW-based features to their TRS scores were investigated. There were individual DTW-based features identified for each patient. In conclusion, the DTW method can provide information about motor states of advanced PD patients which can be used in the development of methods for automatic motor scoring of PD. © 2020 Somayeh Aghanavesi et al.
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8.
  • Khan, Taha, 1983-, et al. (författare)
  • Prediction of Mild Cognitive Impairment Using Movement Complexity
  • 2021
  • Ingår i: IEEE journal of biomedical and health informatics. - Piscataway : Institute of Electrical and Electronics Engineers (IEEE). - 2168-2194 .- 2168-2208. ; 25:1, s. 227-236
  • Tidskriftsartikel (refereegranskat)abstract
    • Objective: Aimless movement or wandering may be a symptom of mild cognitive impairment (MCI) that arises as a consequence of confusion and forgetfulness. This paper presents a support vector machine (SVM) framework based on movement analysis for the prediction of the onset and progression of MCI.Methods: Movement data of 22 subjects with MCI, and 22 other healthy subjects, living independently in smart homes were collected for ten years using motion sensors. Features were extracted from the sensor data using movement metrics, including cyclomatic complexity, detrended fluctuation analysis, fractal index, entropy, and room transitions. Two different SVM classification algorithms were trained using the features, first to predict the progression of MCI in the post-transition period, and second to predict the onset of MCI in the pre-transition phase.Results: The two SVMs were able to detect the onset six months earlier than the clinical diagnosis. The model accuracy in classifying MCI increased monotonically from the onset month and reached maximum (81%) at the 11th post-transition month. The features of cyclomatic complexity contributed significantly to the prediction results.Conclusion: Findings support the use of movement complexity measures and machine learning for monitoring cognitive behavior in an independent living environment.© Copyright 2020 IEEE., All rights reserved.
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9.
  • Butt, Abdul Haleem, et al. (författare)
  • Speech Assessment for the Classification of Hypokinetic Dysarthria in Parkinson's Disease
  • 2014
  • Ingår i: International Journal of Rehabilitation Sciences. - Islamabad : Pakistan Physical Therapy & Rehabilitation Consultsants. - 2308-5363. ; 3:2, s. 45-45
  • Tidskriftsartikel (refereegranskat)abstract
    • Background & Objective: Hypokinetic arthria mainly associated with Parkinson’s disease. According to Duffy (1995) range of movement, tongue strength, speech rate and voice onset time for stops are reduced. There is an increase in phoneme to phoneme transitions, in syllable and word duration, and in voicing of voiceless stop. Unfortunately patients have physical limitations to reach the clinicians and speech therapists. So the objective of the study was to develop mobile assessment tool to monitor the speech impairments in patients with Parkinson’s disease.Material And Methods: The data was collected from the study of Goetz et al. (2009), recently summarized in Tsanasetal.(2010a). The data of 120 subjects were collected through the Quantitative Motor Assessment Tool (QMAT) system. Data consisted of both normal and pathological voice. In speech tests, three different types of sentences were spoken by each subject. Each speech test was paired with Unified Parkinson’s Disease Rating Scale (UPDRS) test. 220 twenty audio sample were assessed on the basis of performance of subjects in spoken sentences. The data was used to discriminate healthy and impaired voice in Hypokinetic Dysarthria. For this purpose data is classified in to two classes, Class 0 for healthy voice Class 1 for unhealthy voice. Naïve Bayes classifier (NB) has been used for speech classification. In this proposed system, computerized assessment methods equipped with signal processing and artificial intelligence techniques have been introduced. The sentences used for the measurement of Inter Stress Intervals (ISI) were read by each subject. These sentences were computed for comparisons between normal and impaired voice. The speech features which have been assessed for classification are Energy Entropy, Zero crossing rate (ZCR), Spectral-Centroid, Mean Fundamental-Frequency (Meanf0), Jitter (RAP), Jitter (PPQ), adShimmer (APQ).Results: For speech test-1 and test-2, 72% and 80% accuracies of classification between healthy and impaired speech samples have been achieved respectively using the NB. For speech test-3, 64% correct classification is achieved using the NB.Conclusion: The results direct the possibility of speech impairment classification in PD patients based on the clinical rating scale. Future, research will focused on the classification of speech impairment using Unified Parkinson's Disease Rating Scale (UPDRS). This will be helpful for the self-assessment of Patient with Parkinson (PWP) using the mobile device assessment tool.
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10.
  • Gyrling, Therese, et al. (författare)
  • The impact of dance activities on the health of persons with Parkinson’s disease in Sweden
  • 2021
  • Ingår i: International Journal of Qualitative Studies on Health and Well-being. - Oxfordshire : Taylor & Francis. - 1748-2623 .- 1748-2631. ; 16:1
  • Tidskriftsartikel (refereegranskat)abstract
    • Purpose: Parkinson’s disease (PD) is associated with motor and non-motor symptoms that negatively influence the person’s quality of life. To reduce illness and increase quality of life, alternative treatments of PD such as dance might be experienced as beneficial. The aim of this study was to explore experiences of how a dance program in Sweden influences perceived physical, social, and emotional wellbeing in persons with PD. Method: A qualitative method with semi-structured interviews and content analysis was used, and 10 participants with variations in age, gender, and how long they had been diagnosed with the disease were interviewed. Results: The results showed that dancing was experienced as improving health, which implied feeling both calmed and excited, getting better sleep, and being able to move with more focus and freedom. The dance program was experienced as a social context through the importance of community, feelings of togetherness, and being able to compare oneself with others. Experiences of self-support included experiencing increased self-esteem and joy, but also a sense of being confirmed and having structure, which gave meaning to everyday life. Conclusions: To reduce illness and increase quality of life in persons with PD, it is important to investigate alternative treatment methods, and this study shows the importance of participating in a dance program in Sweden for the life situation and health of people with PD. © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
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