| 1. |
- 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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| 2. |
- 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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| 3. |
- Jimenez-del-Toro, Oscar, et al.
(författare)
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Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms : VISCERAL Anatomy Benchmarks
- 2016
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Ingår i: IEEE Transactions on Medical Imaging. - : Institute of Electrical and Electronics Engineers (IEEE). - 0278-0062 .- 1558-254X. ; 35:11, s. 2459-2475
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Tidskriftsartikel (refereegranskat)abstract
- Variations in the shape and appearance of anatomical structures in medical images are often relevant radiological signs of disease. Automatic tools can help automate parts of this manual process. A cloud-based evaluation framework is presented in this paper including results of benchmarking current state-of-the-art medical imaging algorithms for anatomical structure segmentation and landmark detection: the VISCERAL Anatomy benchmarks. The algorithms are implemented in virtual machines in the cloud where participants can only access the training data and can be run privately by the benchmark administrators to objectively compare their performance in an unseen common test set. Overall, 120 computed tomography and magnetic resonance patient volumes were manually annotated to create a standard Gold Corpus containing a total of 1295 structures and 1760 landmarks. Ten participants contributed with automatic algorithms for the organ segmentation task, and three for the landmark localization task. Different algorithms obtained the best scores in the four available imaging modalities and for subsets of anatomical structures. The annotation framework, resulting data set, evaluation setup, results and performance analysis from the three VISCERAL Anatomy benchmarks are presented in this article. Both the VISCERAL data set and Silver Corpus generated with the fusion of the participant algorithms on a larger set of non-manually-annotated medical images are available to the research community.
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| 4. |
- 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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| 5. |
- 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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| 6. |
- Hillberg, Emil, et al.
(författare)
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Active Network Management for All : ANM4L a collaborative research project
- 2020
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- Developments of the power system are driven by the need to decrease the environmental footprint, to meet international climate goals, pushing for fossil‐free energy system. The transition towards clean energy will require power systems to adapt on a global scale with significant investments needed in fossil‐free electricity generation and transport. Renewable Energy Sources (RES) play an increasingly important role in the power system and may become the dominant sources of electricity. Significant RES are integrated in distribution grids globally, resulting in an increased need for distribution grids to perform new and complex tasks necessary for continued grid stability. The rapidity of small‐scale investments calls for agile, alternative grid development solutions. This agility is furthermore necessary to meet challenges arising from demand scenarios encompassing intermittent renewables along with electrification of transport and heat sectors. New technologies and markets are emerging to provide flexibility in consumption, generation, and power transfer capacity. Active Network Management (ANM) solutions provides alternative methods for planning and operation of the power system, through monitoring and control of multiple grid assets. This paper presents an overview of the ongoing project ANM4L, where a toolbox will be developed to support operation and planning of distribution grids.The project ANM4L (Active network management for all - anm4l.eu), will develop and demonstrate innovative ANM solutions for increasing integration of distributed generation in electricity distribution systems. ANM solutions will consider management of active and reactive power to avoid overload situations and maintain voltage limits. The goal is to decrease the need of curtailment of renewable energy, theoretically enabling further integration of distributed generation potentially even above the current design limitations of the electricity network. Core research and development activities of the ANM4L project include development of: ANM methods for local energy systems. Economic considerations to provide decision support. A toolbox to support the planning and operation. The toolbox, methods and business models for ANM will be demonstrated in real life distribution grids in both Sweden and Hungary. Furthermore, the project will consider the replicability and scalability necessary for these ANM solutions to be applied across the EU.
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