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Impact Analysis of Solutions for Chronic Disease Prevention and Management [electronic resource] : 10th International Conference on Smart Homes and Health Telematics, ICOST 2012, Artiminio, Italy, June 12-15, 2012. Proceedings / edited by Mark Donnelly, Cristiano Paggetti, Chris Nugent, Mounir Mokhtari.

By: Contributor(s): Material type: TextTextSeries: Lecture Notes in Computer Science ; 7251Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012Description: XIII, 297p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783642307799
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 004.6 23
LOC classification:
  • TK7874.6
Online resources: In: Springer eBooksSummary: This book constitutes the refereed proceedings of the 10th International Conference on Smart Homes and Health Telematics, ICOST 2012, held in Artiminio, Tuscany, Italy, June 12- 15, 2012. The 25 revised full papers presented together with 22 short papers were carefully reviewed and selected from 74 submissions. The papers are categorized into a number of sessions that include: User Engagement for Improved Adoption of Assistive Technologies, Self-Management and Tele-Rehabilitation, Advances in Remote Monitoring and Activity Recognition, Sensor Networks for Unobstrusive Monitoring Solutions, and Real World “Aware” Systems.
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Item type Current library Call number Status Date due Barcode
E-Book E-Book Central Library Available E-49257

This book constitutes the refereed proceedings of the 10th International Conference on Smart Homes and Health Telematics, ICOST 2012, held in Artiminio, Tuscany, Italy, June 12- 15, 2012. The 25 revised full papers presented together with 22 short papers were carefully reviewed and selected from 74 submissions. The papers are categorized into a number of sessions that include: User Engagement for Improved Adoption of Assistive Technologies, Self-Management and Tele-Rehabilitation, Advances in Remote Monitoring and Activity Recognition, Sensor Networks for Unobstrusive Monitoring Solutions, and Real World “Aware” Systems.

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