| 1. |
- Al-Chalabi, Ammar, et al.
(författare)
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July 2017 ENCALS statement on edaravone
- 2017
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Ingår i: Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. - : TAYLOR & FRANCIS LTD. - 2167-8421 .- 2167-9223. ; 18:7-8, s. 471-474
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Tidskriftsartikel (refereegranskat)abstract
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| 2. |
- Bleser, Gabriele, et al.
(författare)
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A personalized exercise trainer for the elderly
- 2013
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Ingår i: Journal of Ambient Intelligence and Smart Environments. - 1876-1364 .- 1876-1372. ; 5:6, s. 547-562
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Tidskriftsartikel (refereegranskat)abstract
- Regular and moderate physical activity practice provides many physiological benefits. It reduces the risk of disease outcomes and is the basis for proper rehabilitation after a severe disease. Aerobic activity and strength exercises are strongly recommended in order to maintain autonomy with ageing. Balanced activity of both types is important, especially to the elderly population. Several methods have been proposed to monitor aerobic activities. However, no appropriate method is available for controlling more complex parameters of strength exercises. Within this context, the present article introduces a personalized, home-based strength exercise trainer designed for the elderly. The system guides a user at home through a personalized exercise program. Using a network of wearable sensors the user's motions are captured. These are evaluated by comparing them to prescribed exercises, taking both exercise load and technique into account. Moreover, the evaluation results are immediately translated into appropriate feedback to the user in order to assist the correct exercise execution. Besides the direct feedback, a major novelty of the system is its generic personalization by means of a supervised teach-in phase, where the program is performed once under supervision of a physical activity specialist. This teach-in phase allows the system to record and learn the correct execution of exercises for the individual user and to provide personalized monitoring. The user-driven design process, the system development and its underlying activity monitoring methodology are described. Moreover, technical evaluation results as well as results concerning the usability of the system for ageing people are presented. The latter has been assessed in a clinical study with thirty participants of 60 years or older, some of them showing usual diseases or functional limitations observed in elderly population.
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| 3. |
- Bleser, Gabriele, et al.
(författare)
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Personalized Physical Activity Monitoring Using Wearable Sensors
- 2015
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Ingår i: Smart Health. - Cham : Springer International Publishing. - 9783319162256 - 9783319162263 ; , s. 99-124
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Bokkapitel (refereegranskat)abstract
- It is a well-known fact that exercising helps people improve their overall well-being; both physiological and psychological health. Regular moderate physical activity improves the risk of disease progression, improves the chances for successful rehabilitation, and lowers the levels of stress hormones. Physical fitness can be categorized in cardiovascular fitness, and muscular strength and endurance. A proper balance between aerobic activities and strength exercises are important to maximize the positive effects. This balance is not always easily obtained, so assistance tools are important. Hence, ambient assisted living (AAL) systems that support and motivate balanced training are desirable. This chapter presents methods to provide this, focusing on the methodologies and concepts implemented by the authors in the physical activity monitoring for aging people (PAMAP) platform. The chapter sets the stage for an architecture to provide personalized activity monitoring using a network of wearable sensors, mainly inertial measurement units (IMU). The main focus is then to describe how to do this in a personalizable way: (1) monitoring to provide an estimate of aerobic activities performed, for which a boosting based method to determine activity type, intensity, frequency, and duration is given; (2) supervise and coach strength activities. Here, methodologies are described for obtaining the parameters needed to provide real-time useful feedback to the user about how to exercise safely using the right technique.
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| 4. |
- Geraldine Guex, Anne, et al.
(författare)
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Controlling pH by electronic ion pumps to fight fibrosis
- 2021
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Ingår i: Applied Materials Today. - : Elsevier. - 2352-9407. ; 22
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Tidskriftsartikel (refereegranskat)abstract
- Fibrosis and scar formation is a medical condition observed under various circumstances, ranging from skin wound healing to cardiac deterioration after myocardial infarction. Among other complex interdependent phases during wound healing, fibrosis is associated with an increased fibroblast to myofibroblast transition. A common hypothesis is that decreasing the pH of non-healing, alkaline wounds to a pH range of 6.0 to 6.5 increases healing rates. A new material-based strategy to change the pH by use of electronic ion pumps is here proposed. In contrast to passive acidic wound dressings limited by non-controlled delivery kinetics, the unique electronic ion pump design and operation enables a continuous regulation of pH by H+ delivery over prolonged durations. In an in vitro model, fibroblast to myofibroblast differentiation is attenuated by lowering the physiological pH to an acidic regime of 6.62 +/- 0.06. Compared to differentiated myofibroblasts in media at pH 7.4, gene and protein expression of fibrosis relevant markers alpha-smooth muscle actin and collagen 1 is significantly reduced. In conclusion, myofibroblast differentiation can be steered by controlling the pH of the cellular microenvironment by use of the electronic ion pump technology as new bioelectronic drug delivery devices. This technology opens up new therapeutic avenues to induce scar-free wound healing. (C) 2021 The Authors. Published by Elsevier Ltd.
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| 5. |
- Weber, Markus, et al.
(författare)
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Unsupervised model generation for motion monitoring
- 2011
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Ingår i: Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC). - : IEEE. - 9781457706523
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Konferensbidrag (refereegranskat)abstract
- This paper addresses two fundamental requirements of full body motion monitoring: (a) the ability to sense the input of the user and (b) the means to interpret the captured input. Appropriate technology in both areas is required for an interactive virtual reality system to provide feedback in a useful and natural way. This paper combines technologies for both areas: It develops a sensor fusion approach for capturing user input based on miniature on-body inertial and magnetic motion sensors. Furthermore, it presents work in progress to automatically generate models for motion patterns from the captured input. The technology is then used and evaluated in the context of a personalized virtual rehabilitation trainer application.
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