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Health and Wellness Measurement Approaches for Mobile Healthcare

  • Gita Khalili Moghaddam
  • Christopher R. Lowe
Book

Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Also part of the SpringerBriefs in Computational Intelligence book sub series (BRIEFSINTELL)

Table of contents

  1. Front Matter
    Pages i-x
  2. Gita Khalili Moghaddam, Christopher R. Lowe
    Pages 1-11
  3. Gita Khalili Moghaddam, Christopher R. Lowe
    Pages 13-49
  4. Gita Khalili Moghaddam, Christopher R. Lowe
    Pages 51-104

About this book

Introduction

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.

Keywords

Computational Intelligence Mobile Healthcare mHealth Sensor Technologies Ex-vivo Biosignatures Internet of People

Authors and affiliations

  • Gita Khalili Moghaddam
    • 1
  • Christopher R. Lowe
    • 2
  1. 1.Department of PharmacologyUniversity of CambridgeCambridgeUK
  2. 2.Department of PharmacologyUniversity of CambridgeCambridgeUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-01557-2
  • Copyright Information The Author(s), under exclusive license to Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Intelligent Technologies and Robotics
  • Print ISBN 978-3-030-01556-5
  • Online ISBN 978-3-030-01557-2
  • Series Print ISSN 2191-530X
  • Series Online ISSN 2191-5318
  • Buy this book on publisher's site