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2016 | Buch

Introduction Kapitel lesen Erstes Kapitel lesen

Distributed Computing and Monitoring Technologies for Older Patients

verfasst von: Juris Klonovs, Mohammad A. Haque, Volker Krueger, Kamal Nasrollahi, Karen Andersen-Ranberg, Thomas B. Moeslund, Erika G. Spaich

Verlag: Springer International Publishing

Buchreihe : SpringerBriefs in Computer Science

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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Über dieses Buch

This book summarizes various approaches for the automatic detection of health threats to older patients at home living alone. The text begins by briefly describing those who would most benefit from healthcare supervision. The book then summarizes possible scenarios for monitoring an older patient at home, deriving the common functional requirements for monitoring technology. Next, the work identifies the state of the art of technological monitoring approaches that are practically applicable to geriatric patients. A survey is presented on a range of such interdisciplinary fields as smart homes, telemonitoring, ambient intelligence, ambient assisted living, gerontechnology, and aging-in-place technology. The book discusses relevant experimental studies, highlighting the application of sensor fusion, signal processing and machine learning techniques. Finally, the text discusses future challenges, offering a number of suggestions for further research directions.

Inhaltsverzeichnis

Frontmatter
Chapter 1. Introduction
Abstract
In recent years, distributed computing and monitoring technologies have gained a lot of interest in the cross-disciplinary field of healthcare informatics. This introductory chapter reveals the growing need for timely detection of numerous health threats of older people, who are challenged by various chronic and acute illnesses and are susceptible to injuries. First, we give a concise overview of the relevant terms, which are often used for representing state-of-the-art technologies and research fields dealing with monitoring of older patients. Second, we guide the readers through the contents of this book, which are intended for both geriatric care practitioners and engineers, who are developing or integrating monitoring solutions for older adults. Then, we provide a summary of notable worldwide smart-home projects aimed at monitoring and assisting older people, including geriatric patients. The underlying aim of these projects was to explore the use of ambient and/or wearable sensing technology to monitor the well-being of older adults in their home environments.
Juris Klonovs, Mohammad A. Haque, Volker Krueger, Kamal Nasrollahi, Karen Andersen-Ranberg, Thomas B. Moeslund, Erika G. Spaich
Chapter 2. Reviews and Taxonomies
Abstract
This chapter summarizes the existing review articles in the field of monitoring and diagnosing older adults at risk of health deterioration, in the context of smart-homes. We provide taxonomy of these notable review articles, characterizing their aims and reviewing approaches of proposed monitoring systems capable of detecting health threats in smart-home settings. We included reviews, which focus on describing technology, applications, costs, and quality of monitoring services. These reviews greatly help to orientate in the assortment of available monitoring solutions for various scenarios.
Juris Klonovs, Mohammad A. Haque, Volker Krueger, Kamal Nasrollahi, Karen Andersen-Ranberg, Thomas B. Moeslund, Erika G. Spaich
Chapter 3. Relevant Scenarios for Home Monitoring Solutions for Older Adults
Abstract
In this chapter, we describe three common scenarios of older people’s living situation in order to increase the understanding of when and how home monitoring can be used among older people at risk of worsening health. We aim at describing the different circumstances under which monitoring approaches and personal care solutions can be applied. Then, we describe relevant geriatric conditions and threats of deteriorating health and functional losses, which are considered to be of paramount need for suitable monitoring solutions. Finally, we summarize these needs in a concise list of conditions and activities that shall be automatically monitored.
Juris Klonovs, Mohammad A. Haque, Volker Krueger, Kamal Nasrollahi, Karen Andersen-Ranberg, Thomas B. Moeslund, Erika G. Spaich
Chapter 4. Monitoring Technology
Abstract
This chapter aims at giving an insight into a variety of available monitoring technologies and techniques, which aim to provide solutions to the issues listed in Chap. 3. First, we start with discussing possible data collection approaches, by revealing choices of available sensors and underlying constrains. Second, we provide a summary of sensors used for data acquisition in regard to needed medical applications, revealing what relevant parameters can be derived from those sensor measurements. We then summarize what common data processing and analysis techniques are used for interpreting this data, with a special focus on machine learning approaches. Third, we derive important requirements and underlying challenges for the involved machine learning strategies and discuss possible implications for applying the different monitoring approaches. Finally, we refer to a number of established standards, which are needed to be complied with, when developing and implementing home monitoring systems for older adults.
Juris Klonovs, Mohammad A. Haque, Volker Krueger, Kamal Nasrollahi, Karen Andersen-Ranberg, Thomas B. Moeslund, Erika G. Spaich
Chapter 5. Datasets
Abstract
Publicly available datasets constitute the ground to evaluate and compare the performance of proposed approaches for monitoring older patients at home. In this chapter, we shed light on the importance of using datasets as a benchmarking tool for comparing various monitoring techniques for detecting the health threats, which we discussed in the previous chapters. The methods, which are tested by using a standard publicly available dataset as a benchmark, are considered to be more reliable and are more likely to be accepted by the scientific community for their claimed results. Therefore, we summarize the references of available datasets, which are relevant to the field of automatic monitoring of older patients.
Juris Klonovs, Mohammad A. Haque, Volker Krueger, Kamal Nasrollahi, Karen Andersen-Ranberg, Thomas B. Moeslund, Erika G. Spaich
Chapter 6. Discussion
Abstract
This chapter briefly discusses the anticipated future challenges within the field of monitoring older adults and provides a number of future research directions. Some of the most notable challenges are lack of publically available datasets, poor measurement accuracy of sensors, user-centered design barriers, and user acceptability for monitoring. We try to draw attention to the importance of acquiring objective information of older patients’ health conditions by applying appropriate sensor technology for automated monitoring, which we covered in the previous chapters of this book. As possible future research directions, we draw attention to the necessary research in the fields of sensor fusion and machine learning for detecting various health-threatening events and conditions in older population.
Juris Klonovs, Mohammad A. Haque, Volker Krueger, Kamal Nasrollahi, Karen Andersen-Ranberg, Thomas B. Moeslund, Erika G. Spaich
Chapter 7. Conclusion
Abstract
This chapter concludes the book by summarizing the current status and visions for research and developments in the cross-disciplinary field of monitoring older populations.
Juris Klonovs, Mohammad A. Haque, Volker Krueger, Kamal Nasrollahi, Karen Andersen-Ranberg, Thomas B. Moeslund, Erika G. Spaich
Metadaten
Titel
Distributed Computing and Monitoring Technologies for Older Patients
verfasst von
Juris Klonovs
Mohammad A. Haque
Volker Krueger
Kamal Nasrollahi
Karen Andersen-Ranberg
Thomas B. Moeslund
Erika G. Spaich
Copyright-Jahr
2016
Electronic ISBN
978-3-319-27024-1
Print ISBN
978-3-319-27023-4
DOI
https://doi.org/10.1007/978-3-319-27024-1