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Intelligent Data Sensing and Processing for Health and Well-being Applications
Thorough coverage of the fundamental concepts and methods of sensor-collected intelligence, with in-depth examination of current and future applications
Miguel Antonio Wister Ovando (Edited by), Pablo Pancardo Garcia (Edited by), Francisco Diego Acosta Escalante (Edited by), Jose Adan Hernandez Nolasco (Edited by)
9780128121306
Paperback, published 30 July 2018
313 pages
23.4 x 19 x 2 cm, 0.66 kg
Intelligent Data Sensing and Processing for Health and Well-being Applications uniquely combines full exploration of the latest technologies for sensor-collected intelligence with detailed coverage of real-case applications for healthcare and well-being at home and in the workplace. Forward-thinking in its approach, the book presents concepts and technologies needed for the implementation of today's mobile, pervasive and ubiquitous systems, and for tomorrow’s IoT and cyber-physical systems. Users will find a detailed overview of the fundamental concepts of gathering, processing and analyzing data from devices disseminated in the environment, as well as the latest proposals for collecting, processing and abstraction of data-sets. In addition, the book addresses algorithms, methods and technologies for diagnosis and informed decision-making for healthcare and well-being. Topics include emotional interface with ambient intelligence and emerging applications in detection and diagnosis of neurological diseases. Finally, the book explores the trends and challenges in an array of areas, such as applications for intelligent monitoring in the workplace for well-being, acquiring data traffic in cities to improve the assistance of first aiders, and applications for supporting the elderly at home.
Part 1. Introduction to Smart sensors 1. Charting the past, present, and future in mobile sensing research and development 2. Data fusion architecture of heterogeneous sources obtained of a smart desk 3. Wireless Sensor Technology for Intelligent Data Sensing: Research Trends and Challenges Part 2. Sensing in health and well-being applications 4. Tangible interfaces for ambient assisted working 5. Ambient Assisted Working Applications 6. Home automation architecture for comfort, security and resource saving 7. Security, privacy and ethical issues in smart sensor health and well-being application 8. Diagnosing medical conditions using rule-based classifiers Part 3. Smart sensor application for health and well-being applications 9. Assessing the Perception of Physical Fatigue using Mobile Sensing 10. Applications to improve the assistance of first aiders in outdoor scenarios 11. Indoor Activity Tracking for Elderly Using Intelligent Sensors 12. User-centered data mining for survival-mortality classification of breast cancer in Mexican origin women 13. Modelling Independence and Security in Dementia-Users Using Fuzzy Logic 14. Wireless Sensor Networks Applications for Monitoring Environmental Variables Using Evolutionary Algorithms
Subject Areas: Biomedical engineering [MQW]
