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Distributed Computing and Monitoring Technologies for Older Patients (SpringerBriefs in Computer Science) - Tapa blanda

 
9783319270234: Distributed Computing and Monitoring Technologies for Older Patients (SpringerBriefs in Computer Science)
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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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Biografía del autor:

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.

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  • EditorialSpringer
  • Año de publicación2016
  • ISBN 10 3319270230
  • ISBN 13 9783319270234
  • EncuadernaciónTapa blanda
  • Número de edición1
  • Número de páginas116

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Klonovs, Juris
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Descripción Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783319270234

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Klonovs, Juris
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Descripción Condición: New. pp. 94. Nº de ref. del artículo: 373957148

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Descripción Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783319270234

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Juris Klonovs|Mohammad Ahsanul Haque|Volker Krüger|Kamal Nasrollahi|Karen Andersen-Ranberg|Thomas B. Moeslund|Erika Geraldina Spaich
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Descripción Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a comprehensive review of state-of-the-art solutions for the automated monitoring of older adults with comorbidities at home Incudes a special chapter on monitoring technology, discussing the various possible data collection approaches. Nº de ref. del artículo: 91472843

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Klonovs, Juris (Author)/ Haque, Mohammad A. (Author)/ Krueger, Volker (Author)/ Nasrollahi, Kamal (Author)/ Andersen-Ranberg, Karen (Author)/ Moeslund, Thomas B. (Author)/ Spaich, Erika G. (Author)
Publicado por Springer (2016)
ISBN 10: 3319270230 ISBN 13: 9783319270234
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Descripción Paperback. Condición: Brand New. 116 pages. 9.00x6.00x0.25 inches. In Stock. Nº de ref. del artículo: 3319270230

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