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Distributed Computing and Monitoring Technologies for Older Patients

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Distributed Computing and Monitoring Technologies for Older Patients/ by Juris Klonovs, Mohammad Ahsanul Haque, Volker Krüger, Kamal Nasrollahi, Karen Andersen-Ranberg, Thomas B. Moeslund, Erika Geraldina Spaich.
作者:	Klonovs, Juris.
其他作者:	Ahsanul Haque, Mohammad.
面頁冊數:	XII, 102 p. 3 illus., 1 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Health informatics. -
電子資源:	https://doi.org/10.1007/978-3-319-27024-1
ISBN:	9783319270241

Distributed Computing and Monitoring Technologies for Older Patients
Klonovs, Juris.

Distributed Computing and Monitoring Technologies for Older Patients[electronic resource] /by Juris Klonovs, Mohammad Ahsanul Haque, Volker Krüger, Kamal Nasrollahi, Karen Andersen-Ranberg, Thomas B. Moeslund, Erika Geraldina Spaich. - 1st ed. 2016. - XII, 102 p. 3 illus., 1 illus. in color.online resource. - SpringerBriefs in Computer Science,2191-5768. - SpringerBriefs in Computer Science,.

Introduction -- Reviews and Taxonomies -- Relevant Scenarios for Home Monitoring Solutions for Older Adults -- Monitoring Technology -- Datasets -- Discussion -- Conclusion.

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.

ISBN: 9783319270241

Standard No.: 10.1007/978-3-319-27024-1doiSubjects--Topical Terms:

1064466
Health informatics.

LC Class. No.: R858-R859.7

Dewey Class. No.: 502.85

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