Mobile Health: Sensors, Analytic Methods, and Applications - Couverture souple

9783319846392: Mobile Health: Sensors, Analytic Methods, and Applications

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ISBN 10 : 3319846396 ISBN 13 : 9783319846392

Editeur : Springer, 2018

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�diteurSpringer
Date d'�dition2018
ISBN 10 3319846396
ISBN 13 9783319846392
ReliureBroch�
Langueanglais
Nombre de pages584
�diteurRehg James M., Murphy Susan A., Kumar Santosh

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Mobile Health

Rehg, James M.|Murphy, Susan A.|Kumar, Santosh

Edit� par Springer International Publishing, 2018

ISBN 10 : 3319846396 ISBN 13 : 9783319846392

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a comprehensive overview of the major topics in sensing, analytics, and mobile computing which are critical to the design and deployment of mHealth systemsEnables researchers and practitioners who are entering the mHe. N� de r�f. du vendeur 448758589

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Mobile Health

James M. Rehg

Edit� par Springer International Publishing Aug 2018, 2018

ISBN 10 : 3319846396 ISBN 13 : 9783319846392

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This volume provides a comprehensive introduction to mHealth technology and is accessible to technology-oriented researchers and practitioners with backgrounds in computer science, engineering, statistics, and applied mathematics. The contributing authors include leading researchers and practitioners in the mHealth field.The book offers an in-depth exploration of the three key elements of mHealth technology: the development of on-body sensors that can identify key health-related behaviors (sensors to markers), the use of analytic methods to predict current and future states of health and disease (markers to predictors), and the development of mobile interventions which can improve health outcomes (predictors to interventions). Chapters are organized into sections, with the first section devoted to mHealth applications, followed by three sections devoted to the above three key technology areas. Each chapter can be read independently, but the organization of the entire book provides a logical flow from the design of on-body sensing technology, through the analysis of time-varying sensor data, to interactions with a user which create opportunities to improve health outcomes. This volume is a valuable resource to spur the development of this growing field, and ideally suited for use as a textbook in an mHealth course. 584 pp. Englisch. N� de r�f. du vendeur 9783319846392

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Mobile Health : Sensors, Analytic Methods, and Applications

James M. Rehg

Edit� par Springer International Publishing, Springer International Publishing, 2018

ISBN 10 : 3319846396 ISBN 13 : 9783319846392

Neuf Taschenbuch

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume provides a comprehensive introduction to mHealth technology and is accessible to technology-oriented researchers and practitioners with backgrounds in computer science, engineering, statistics, and applied mathematics. The contributing authors include leading researchers and practitioners in the mHealth field.The book offers an in-depth exploration of the three key elements of mHealth technology: the development of on-body sensors that can identify key health-related behaviors (sensors to markers), the use of analytic methods to predict current and future states of health and disease (markers to predictors), and the development of mobile interventions which can improve health outcomes (predictors to interventions). Chapters are organized into sections, with the first section devoted to mHealth applications, followed by three sections devoted to the above three key technology areas. Each chapter can be read independently, but the organizationof the entire book provides a logical flow from the design of on-body sensing technology, through the analysis of time-varying sensor data, to interactions with a user which create opportunities to improve health outcomes. This volume is a valuable resource to spur the development of this growing field, and ideally suited for use as a textbook in an mHealth course. N� de r�f. du vendeur 9783319846392

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