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Author:
Publisher: Universitätsverlag Potsdam
ISBN: 3869565519
Category : Computers
Languages : en
Pages : 82
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Book Description
Decubitus is one of the most relevant diseases in nursing and the most expensive to treat. It is caused by sustained pressure on tissue, so it particularly affects bed-bound patients. This work lays a foundation for pressure mattress-based decubitus prophylaxis by implementing a solution to the single-frame 2D Human Pose Estimation problem. For this, methods of Deep Learning are employed. Two approaches are examined, a coarse-to-fine Convolutional Neural Network for direct regression of joint coordinates and a U-Net for the derivation of probability distribution heatmaps. We conclude that training our models on a combined dataset of the publicly available Bodies at Rest and SLP data yields the best results. Furthermore, various preprocessing techniques are investigated, and a hyperparameter optimization is performed to discover an improved model architecture. Another finding indicates that the heatmap-based approach outperforms direct regression. This model achieves a mean per-joint position error of 9.11 cm for the Bodies at Rest data and 7.43 cm for the SLP data. We find that it generalizes well on data from mattresses other than those seen during training but has difficulties detecting the arms correctly. Additionally, we give a brief overview of the medical data annotation tool annoto we developed in the bachelor project and furthermore conclude that the Scrum framework and agile practices enhanced our development workflow.
Author:
Publisher: Universitätsverlag Potsdam
ISBN: 3869565519
Category : Computers
Languages : en
Pages : 82
Get Book
Book Description
Decubitus is one of the most relevant diseases in nursing and the most expensive to treat. It is caused by sustained pressure on tissue, so it particularly affects bed-bound patients. This work lays a foundation for pressure mattress-based decubitus prophylaxis by implementing a solution to the single-frame 2D Human Pose Estimation problem. For this, methods of Deep Learning are employed. Two approaches are examined, a coarse-to-fine Convolutional Neural Network for direct regression of joint coordinates and a U-Net for the derivation of probability distribution heatmaps. We conclude that training our models on a combined dataset of the publicly available Bodies at Rest and SLP data yields the best results. Furthermore, various preprocessing techniques are investigated, and a hyperparameter optimization is performed to discover an improved model architecture. Another finding indicates that the heatmap-based approach outperforms direct regression. This model achieves a mean per-joint position error of 9.11 cm for the Bodies at Rest data and 7.43 cm for the SLP data. We find that it generalizes well on data from mattresses other than those seen during training but has difficulties detecting the arms correctly. Additionally, we give a brief overview of the medical data annotation tool annoto we developed in the bachelor project and furthermore conclude that the Scrum framework and agile practices enhanced our development workflow.
Author: Matthias Barkowsky
Publisher: Universitätsverlag Potsdam
ISBN: 386956556X
Category : Computers
Languages : en
Pages : 36
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Book Description
Like conventional software projects, projects in model-driven software engineering require adequate management of multiple versions of development artifacts, importantly allowing living with temporary inconsistencies. In the case of model-driven software engineering, employed versioning approaches also have to handle situations where different artifacts, that is, different models, are linked via automatic model transformations. In this report, we propose a technique for jointly handling the transformation of multiple versions of a source model into corresponding versions of a target model, which enables the use of a more compact representation that may afford improved execution time of both the transformation and further analysis operations. Our approach is based on the well-known formalism of triple graph grammars and a previously introduced encoding of model version histories called multi-version models. In addition to showing the correctness of our approach with respect to the standard semantics of triple graph grammars, we conduct an empirical evaluation that demonstrates the potential benefit regarding execution time performance.
Author: Matthias Barkowsky
Publisher: Universitätsverlag Potsdam
ISBN: 3869565551
Category : Computers
Languages : en
Pages : 70
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Book Description
Complex projects developed under the model-driven engineering paradigm nowadays often involve several interrelated models, which are automatically processed via a multitude of model operations. Modular and incremental construction and execution of such networks of models and model operations are required to accommodate efficient development with potentially large-scale models. The underlying problem is also called Global Model Management. In this report, we propose an approach to modular and incremental Global Model Management via an extension to the existing technique of Generalized Discrimination Networks (GDNs). In addition to further generalizing the notion of query operations employed in GDNs, we adapt the previously query-only mechanism to operations with side effects to integrate model transformation and model synchronization. We provide incremental algorithms for the execution of the resulting extended Generalized Discrimination Networks (eGDNs), as well as a prototypical implementation for a number of example eGDN operations. Based on this prototypical implementation, we experiment with an application scenario from the software development domain to empirically evaluate our approach with respect to scalability and conceptually demonstrate its applicability in a typical scenario. Initial results confirm that the presented approach can indeed be employed to realize efficient Global Model Management in the considered scenario.
Author: Ronda Hughes
Publisher: Department of Health and Human Services
ISBN:
Category : Medical
Languages : en
Pages : 592
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Book Description
"Nurses play a vital role in improving the safety and quality of patient car -- not only in the hospital or ambulatory treatment facility, but also of community-based care and the care performed by family members. Nurses need know what proven techniques and interventions they can use to enhance patient outcomes. To address this need, the Agency for Healthcare Research and Quality (AHRQ), with additional funding from the Robert Wood Johnson Foundation, has prepared this comprehensive, 1,400-page, handbook for nurses on patient safety and quality -- Patient Safety and Quality: An Evidence-Based Handbook for Nurses. (AHRQ Publication No. 08-0043)." - online AHRQ blurb, http://www.ahrq.gov/qual/nurseshdbk/
Author: Karen Hertz
Publisher: Springer
ISBN: 3319766813
Category : Medical
Languages : en
Pages : 169
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Book Description
This open access book aims to provide a comprehensive but practical overview of the knowledge required for the assessment and management of the older adult with or at risk of fragility fracture. It considers this from the perspectives of all of the settings in which this group of patients receive nursing care. Globally, a fragility fracture is estimated to occur every 3 seconds. This amounts to 25 000 fractures per day or 9 million per year. The financial costs are reported to be: 32 billion EUR per year in Europe and 20 billon USD in the United States. As the population of China ages, the cost of hip fracture care there is likely to reach 1.25 billion USD by 2020 and 265 billion by 2050 (International Osteoporosis Foundation 2016). Consequently, the need for nursing for patients with fragility fracture across the world is immense. Fragility fracture is one of the foremost challenges for health care providers, and the impact of each one of those expected 9 million hip fractures is significant pain, disability, reduced quality of life, loss of independence and decreased life expectancy. There is a need for coordinated, multi-disciplinary models of care for secondary fracture prevention based on the increasing evidence that such models make a difference. There is also a need to promote and facilitate high quality, evidence-based effective care to those who suffer a fragility fracture with a focus on the best outcomes for recovery, rehabilitation and secondary prevention of further fracture. The care community has to understand better the experience of fragility fracture from the perspective of the patient so that direct improvements in care can be based on the perspectives of the users. This book supports these needs by providing a comprehensive approach to nursing practice in fragility fracture care.
Author: Krishnan Padmakumari Sivaraman Nair
Publisher: Cambridge University Press
ISBN: 110718469X
Category : Medical
Languages : en
Pages : 255
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Book Description
This practical handbook for clinicians covers pharmacological and non-pharmacological treatment options in neurological rehabilitation.
Author: National Pressure Ulcer Advisory Panel (U.S.)
Publisher:
ISBN: 9780980739657
Category :
Languages : en
Pages : 308
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Book Description
This Clinical Practice Guideline presents recommendations and summarizes the supporting evidence for pressure ulcer prevention and treatment. The first edition was developed as a four year collaboration between the National Pressure Ulcer Advisory Panel (NPUAP) and the European Pressure Ulcer Advisory Panel (EPUAP). In this second edition of the guideline, the Pan Pacific Pressure Injury Alliance (PPPIA) has joined the NPUAP and EPUAP. This edition of the guideline has been developed over a two year period to provide an updated review of the research literature, extend the scope of the guideline and produce recommendations that reflect the most recent evidence. It provides a detailed analysis and discussion of available research, critical evaluation of the assumptions and knowledge in the field, recommendations for clinical practice, a description of the methodology used to develop the guideline and acknowledgements of the 113 experts formally involved in the development process.
Author: Dan L. Bader
Publisher: Springer Science & Business Media
ISBN: 354028804X
Category : Medical
Languages : en
Pages : 383
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Book Description
Presents both current and future aspects of diagnosis and treatment. Presents evidence-based knowledge of pressure ulcer aetiology. Contains over 90 illustrations. Explores the possiblities of tissue repair using new tissue engineering strategies.
Author: Marco Romanelli
Publisher: Springer Science & Business Media
ISBN: 9781852338398
Category : Medical
Languages : en
Pages : 256
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Book Description
Only comprehensive reference book on pressure ulcers and their management Only book in its field endorsed by the European Pressure Ulcer Advisory Panel, the leading European authority on pressure ulcers
Author: Pier Luigi Mazzeo
Publisher: Springer Nature
ISBN: 3031133218
Category : Computers
Languages : en
Pages : 586
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Book Description
The two-volume set LNCS 13373 and 13374 constitutes the papers of several workshops which were held in conjunction with the 21st International Conference on Image Analysis and Processing, ICIAP 2022, held in Lecce, Italy, in May 2022. The 96 revised full papers presented in the proceedings set were carefully reviewed and selected from 157 submissions. ICIAP 2022 presents the following Sixteen workshops: Volume I: GoodBrother workshop on visual intelligence for active and assisted livingParts can worth like the Whole - PART 2022Workshop on Fine Art Pattern Extraction and Recognition - FAPERWorkshop on Intelligent Systems in Human and Artificial Perception - ISHAPE 2022Artificial Intelligence and Radiomics in Computer-Aided Diagnosis - AIRCADDeep-Learning and High Performance Computing to Boost Biomedical Applications - DeepHealth Volume II: Human Behaviour Analysis for Smart City Environment Safety - HBAxSCESBinary is the new Black (and White): Recent Advances on Binary Image ProcessingArtificial Intelligence for preterm infants’ healthCare - AI-careTowards a Complete Analysis of People: From Face and Body to Clothes - T-CAPArtificial Intelligence for Digital Humanities - AI4DHMedical Transformers - MEDXFLearning in Precision Livestock Farming - LPLFWorkshop on Small-Drone Surveillance, Detection and Counteraction Techniques - WOSDETCMedical Imaging Analysis For Covid-19 - MIACOVID 2022Novel Benchmarks and Approaches for Real-World Continual Learning - CL4REAL
