Bayesian Solutions Of Problems Related To Non Invasive And Non Intrusive Monitoring Of Elderly Persons
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| Author | : Jakub Wagner |
| Publisher | : Springer Nature |
| Total Pages | : 312 |
| Release | : 2022-04-15 |
| Genre | : Medical |
| ISBN | : 3030960099 |
This book covers the results of a study concerning systems for healthcare-oriented monitoring of elderly persons. It is focused on the methods for processing data from impulse-radar sensors and depth sensors, aimed at localisation of monitored persons and estimation of selected quantities informative from the healthcare point of view. It includes mathematical descriptions of the considered methods, as well as the corresponding algorithms and the results of their testing in a real-world context. Moreover, it explains the motivations for developing healthcare-oriented monitoring systems and specifies the real-world needs which may be addressed by such systems. The healthcare systems, all over the world, are confronted with challenges implied by the ageing of population and the lack of adequate recruitment of healthcare professionals. Those challenges can be met by developing new technologies aimed at improving the quality of life of elderly people and at increasing the efficiency of public health management. Monitoring systems may contribute to this strategy by providing information on the evolving health status of independently-living elderly persons, enabling healthcare personnel to quickly react to dangerous events. Although these facts are generally acknowledged, such systems are not yet being commonly used in healthcare facilities and households. This may be explained by the difficulties related to the development of technological solutions which can be both acceptable for monitored persons and capable of providing healthcare personnel with useful information. The impulse-radar sensors and depth sensors, considered in this book, have a potential for overcoming those difficulties since they are not cumbersome for the monitored persons – if compared to wearable sensors – and do not violate the monitored person's privacy – if compared to video cameras. Since for safety reasons the level of power, emitted by the radar sensors, must be ultra-low, the task of detection and processing of signals is a research challenge which requires more sophisticated methods than those developed for other radar applications. This book contains descriptions of new Bayesian methods, applicable for the localisation of persons by means of impulse-radar sensors, and an exhaustive review of previously published ones. Furthermore, the methods for denoising, regularised numerical differentiation and fusion of data from impulse-radar sensors and depth sensors are systematically reviewed in this book. On top of that, the results of experiments aimed at comparing the performance of various data-processing methods, which may serve as guidelines for related future projects, are presented.
| Author | : Agency for Healthcare Research and Quality/AHRQ |
| Publisher | : Government Printing Office |
| Total Pages | : 385 |
| Release | : 2014-04-01 |
| Genre | : Medical |
| ISBN | : 1587634333 |
This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews.
| Author | : Adam Bohr |
| Publisher | : Academic Press |
| Total Pages | : 385 |
| Release | : 2020-06-21 |
| Genre | : Computers |
| ISBN | : 0128184396 |
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
| Author | : Domenico Formica |
| Publisher | : MDPI |
| Total Pages | : 432 |
| Release | : 2021-09-01 |
| Genre | : Technology & Engineering |
| ISBN | : 3036506500 |
This book focuses on new sensing technologies, measurement techniques, and their applications in medicine and healthcare. Specifically, the book briefly describes the potential of smart sensors in the aforementioned applications, collecting 24 articles selected and published in the Special Issue “Smart Sensors for Healthcare and Medical Applications”. We proposed this topic, being aware of the pivotal role that smart sensors can play in the improvement of healthcare services in both acute and chronic conditions as well as in prevention for a healthy life and active aging. The articles selected in this book cover a variety of topics related to the design, validation, and application of smart sensors to healthcare.
| Author | : Anthony LaMarca |
| Publisher | : Morgan & Claypool Publishers |
| Total Pages | : 134 |
| Release | : 2008 |
| Genre | : Computers |
| ISBN | : 1598295810 |
Introduces researchers and developers to the most popular technologies and systems for location estimation and the challenges and opportunities that accompany their use. For each technology, the authors discuss the history of its development, the various systems that are based on it, and their trade-offs and their effects on cost and performance.
| Author | : Pnina Fichman |
| Publisher | : Cambridge Scholars Publishing |
| Total Pages | : 225 |
| Release | : 2014-03-17 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 1443858021 |
Social Informatics: Past, Present and Future is a collection of twelve papers that provides a state-of-the-art review of 21st century social informatics. Two papers review the history of social informatics, and show that its intellectual roots can be found in the late 1970s and early ’80s and that it emerged in several different locations around the world before it coalesced in the US in the mid-1990s. The evolution of social informatics is described under four periods: foundational work, development and expansion, a robust period of coherence, and a period of diversification that continues today. Five papers provide a view of the breadth and depth of contemporary social informatics, demonstrating the diversity of theoretical and methodological approaches that can be used. A further five papers explore the future of social informatics and offer provocative and disparate visions of its trajectory, ranging from arguments for a new philosophical grounding for social informatics, to calls for a social informatics based on practice thinking and materiality. This book presents a view of SI that emphasizes the core relationship among people, ICT and organizational and social life from a perspective that integrates aspects of social theory and demonstrates clearly that social informatics has never been a more necessary research endeavor than it is now.
| Author | : William R. Shadish |
| Publisher | : Cengage Learning |
| Total Pages | : 664 |
| Release | : 2002 |
| Genre | : Education |
| ISBN | : |
Sections include: experiments and generalised causal inference; statistical conclusion validity and internal validity; construct validity and external validity; quasi-experimental designs that either lack a control group or lack pretest observations on the outcome; quasi-experimental designs that use both control groups and pretests; quasi-experiments: interrupted time-series designs; regresssion discontinuity designs; randomised experiments: rationale, designs, and conditions conducive to doing them; practical problems 1: ethics, participation recruitment and random assignment; practical problems 2: treatment implementation and attrition; generalised causal inference: a grounded theory; generalised causal inference: methods for single studies; generalised causal inference: methods for multiple studies; a critical assessment of our assumptions.
| Author | : Pamela E. Macintyre |
| Publisher | : |
| Total Pages | : 491 |
| Release | : 2010-01-01 |
| Genre | : Analgesia |
| ISBN | : 9780977517442 |
| Author | : World Health Organization |
| Publisher | : World Health Organization |
| Total Pages | : 54 |
| Release | : 2008 |
| Genre | : Medical |
| ISBN | : 9241563532 |
The WHO Falls Prevention for Active Ageing model provides an action plan for making progress in reducing the prevalence of falls in the older adult population. By building on the three pillars of falls prevention, the model proposes specific strategies for: 1. Building awareness of the importance of falls prevention and treatment; 2. Improving the assessment of individual, environmental, and societal factors that increase the likelihood of falls; and 3. For facilitating the design and implementation of culturally appropriate, evidence-based interventions that will significantly reduce the number of falls among older persons. The model provides strategies and solutions that will require the engagement of multiple sectors of society. It is dependent on and consistent with the vision articulated in the WHO Active Ageing Policy Framework. Although not all of the awareness, assessment, and intervention strategies identified in the model apply equally well in all regions of the world, there are significant evidence-based strategies that can be effectively implemented in all regions and cultures. The degree to which progress will be made depends on to the success in integrating falls prevention strategies into the overall health and social care agendas globally. In order to do this effectively, it is necessary to identify and implement culturally appropriate, evidence-based policies and procedures. This requires multi-sectoral, collaborations, strong commitment to public and professional education, interaction based on evidence drawn from a variety of traditional, complementary, and alternative sources. Although the understanding of the evidence-base is growing, there is much that is not yet understood. Thus, there is an urgent need for continued research in all areas of falls prevention and treatment in order to better understand the scope of the problem worldwide. In particular, more evidence of the cost-effectiveness of interconnections is needed to develop strategies that are most likely to be effective in specific setting and population sub-groups.
| Author | : ANTONIO ESQUINAS |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 388 |
| Release | : 2010-08-12 |
| Genre | : Medical |
| ISBN | : 3642113656 |
Noninvasive mechanical ventilation is an effective technique for the management of patients with acute or chronic respiratory failure. This comprehensive and up-to-date book explores all aspects of the subject. The opening sections are devoted to theory and equipment, with detailed attention to the use of full-face masks or helmets, the range of available ventilators, and patient-ventilator interactions. Clinical applications are then considered in depth in a series of chapters that address the use of noninvasive mechanical ventilation in chronic settings and in critical care, both within and outside of intensive care units. Due attention is also paid to weaning from conventional mechanical ventilation, potential complications, intraoperative applications, and staff training. The closing chapters examine uses of noninvasive mechanical ventilation in neonatal and pediatric care. This book, written by internationally recognized experts, will be an invaluable guide for both clinicians and researchers.
