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Non-invasive monitoring of elderly personssystems based on impulse-radar sensors and depth sensors /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Non-invasive monitoring of elderly personsby Jakub Wagner, Pawel Mazurek, Roman Z. Morawski.
其他題名:	systems based on impulse-radar sensors and depth sensors /
作者:	Wagner, Jakub.
其他作者:	Mazurek, Pawel.
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	xvii, 303 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Patient monitoring.
電子資源:	https://doi.org/10.1007/978-3-030-96009-4
ISBN:	9783030960094$q(electronic bk.)

Non-invasive monitoring of elderly personssystems based on impulse-radar sensors and depth sensors /
Wagner, Jakub.

Non-invasive monitoring of elderly personssystems based on impulse-radar sensors and depth sensors /[electronic resource] :by Jakub Wagner, Pawel Mazurek, Roman Z. Morawski. - Cham :Springer International Publishing :2022. - xvii, 303 p. :ill. (some col.), digital ;24 cm. - Health information science,2366-0996. - Health information science..

1. Introduction to healthcare-oriented monitoring of persons -- 2. Localisation of persons by means of impulse-radar sensors - basic methods -- 3. Localisation of persons by means of impulse-radar sensors - advanced methods -- 4. Localisation of persons by means of impulse-radar sensors - comparison of methods -- 5. Denoising and differentiation of persons' movement trajectories - basic methods -- 6. Denoising and differentiation of persons' movement trajectories - advanced methods -- 7. Fusion of data from impulse-radar sensors and depth sensors -- 8. Gait analysis -- 9. Fall detection -- 10. Ethical issues related to monitoring of persons -- 11. Conclusion.

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.

ISBN: 9783030960094$q(electronic bk.)

Standard No.: 10.1007/978-3-030-96009-4doiSubjects--Topical Terms:

606783
Patient monitoring.

LC Class. No.: RT48.55 / .W34 2022

Dewey Class. No.: 616.075

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520 $a 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.
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