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Distributed Computing and Monitoring Technologies for Older Patients (SpringerBriefs in Computer Science) - Softcover
Synopsis
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.
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About the Author
Juris Klonovs is a PhD student in the Department of Mechanical and Manufacturing Engineering at Aalborg University Copenhagen, Denmark.
Mohammad A. Haque is a PhD Fellow in the Department of Architecture, Design and Media Technology at Aalborg University, Aalborg, Denmark.
Dr. Volker Krueger is a Professor and Head of the Robotics, Vision and Machine Intelligence group in the Department of Mechanical and Manufacturing Engineering at Aalborg University Copenhagen, Denmark. His other publications include the Springer title Visual Analysis of Humans – Looking at People.
Dr. Kamal Nasrollahi is an Associate Professor in Computer Vision in the Department of Architecture, Design and Media Technology at Aalborg University, Aalborg, Denmark.
Dr. Karen Andersen-Ranberg is an Associate Professor in the Danish Aging Research Center at the University of Southern Denmark, Odense, Denmark. She is also a Specialist Consultant in Geriatrics and Internal Medicine at Odense University Hospital.
Dr. Thomas B. Moeslund is a Professor in the Department of Architecture, Design and Media Technology at Aalborg University, Denmark, where he serves as Head of Media Technology, and Head of the Visual Analysis of People Lab. His other publications include the Springer titles Computer Vision in Sports, Introduction to Video and Image Processing, and Visual Analysis of Humans – Looking at People.
Dr. Erika G. Spaich is an Associate Professor in the Department of Health Science and Technology at Aalborg University, Aalborg, Denmark.
"About this title" may belong to another edition of this title.
- PublisherSpringer
- Publication date2016
- ISBN 10 3319270230
- ISBN 13 9783319270234
- BindingPaperback
- Edition number1
- Number of pages114
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Distributed Computing and Monitoring Technologies for Older Patients 2016 (SpringerBriefs in Computer Science)
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Distributed Computing and Monitoring Technologies for Older Patients
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ISBN 10: 3319270230
ISBN 13: 9783319270234
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book summarizes various approaches for theautomatic detection of health threats to older patients at home living alone. Thetext begins by briefly describing those who would most benefit from healthcaresupervision. The book then summarizes possible scenarios for monitoring anolder patient at home, deriving the common functional requirements formonitoring technology. Next, the work identifies the state of the art oftechnological monitoring approaches that are practically applicable to geriatricpatients. A survey is presented on a range of such interdisciplinary fields assmart homes, telemonitoring, ambient intelligence, ambient assisted living,gerontechnology, and aging-in-place technology. The book discusses relevantexperimental studies, highlighting the application of sensor fusion, signalprocessing and machine learning techniques. Finally, the text discusses futurechallenges, offering a number of suggestions for further research directions. 116 pp. Englisch. Seller Inventory # 9783319270234
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Distributed Computing and Monitoring Technologies for Older Patients
Published by
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ISBN 10: 3319270230
ISBN 13: 9783319270234
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book summarizes various approaches for theautomatic detection of health threats to older patients at home living alone. Thetext begins by briefly describing those who would most benefit from healthcaresupervision. The book then summarizes possible scenarios for monitoring anolder patient at home, deriving the common functional requirements formonitoring technology. Next, the work identifies the state of the art oftechnological monitoring approaches that are practically applicable to geriatricpatients. A survey is presented on a range of such interdisciplinary fields assmart homes, telemonitoring, ambient intelligence, ambient assisted living,gerontechnology, and aging-in-place technology. The book discusses relevantexperimental studies, highlighting the application of sensor fusion, signalprocessing and machine learning techniques. Finally, the text discusses futurechallenges, offering a number of suggestions for further research directions. Seller Inventory # 9783319270234
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Distributed Computing and Monitoring Technologies for Older Patients
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