Overview
- Presents a new model that stresses preventative ‘health-care’ rather than ‘sick-care’, and a shift from volume to value
- Reviews sensor technologies that are being coupled with computational intelligence
- Focuses on mobile healthcare and the integration of sensors and smartphones for data gathering and analysis
Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)
Part of the book sub series: SpringerBriefs in Computational Intelligence (BRIEFSINTELL)
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Table of contents (3 chapters)
Keywords
About this book
This book reviews existing sensor technologies that are now being coupled with computational intelligence for the remote monitoring of physical activity and ex vivo biosignatures. In today’s frenetic world, consumers are becoming ever more demanding: they want to control every aspect of their lives and look for options specifically tailored to their individual needs. In many cases, suppliers are catering to these new demands; as a result, clothing, food, social media, fitness and banking services are all being democratised to the individual.
Healthcare provision has finally caught up to this trend and is currently being rebooted to offer personalised solutions, while simultaneously creating a more effective, scalable and cost-effective system for all. The desire for personalisation, home monitoring and treatment, and provision of care in remote locations or in emerging and impoverished nations that lack a fixed infrastructure, is leading to the realisation that mobile technology might be the best candidate for achieving these goals. A combination of several technological, healthcare and financial factors are driving this trend to create a new healthcare model that stresses preventative ‘health-care’ rather than ‘sick-care’, and a shift from volume to value. Mobile healthcare (mhealth), which could also be termed the “internet of people”, refers to the integration of sensors and smartphones to gather and interpret clinical data from patients in real-time. Most importantly, with an ageing population suffering multiple morbidities, mhealth could provide healthcare solutions to enhance chronically ill patients’ quality of life.Authors and Affiliations
Bibliographic Information
Book Title: Health and Wellness Measurement Approaches for Mobile Healthcare
Authors: Gita Khalili Moghaddam, Christopher R. Lowe
Series Title: SpringerBriefs in Applied Sciences and Technology
DOI: https://doi.org/10.1007/978-3-030-01557-2
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Author(s), under exclusive license to Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-01556-5Published: 28 September 2018
eBook ISBN: 978-3-030-01557-2Published: 22 September 2018
Series ISSN: 2191-530X
Series E-ISSN: 2191-5318
Edition Number: 1
Number of Pages: X, 104
Number of Illustrations: 19 b/w illustrations
Topics: Computational Intelligence, Health Informatics, Artificial Intelligence, Communications Engineering, Networks