Health and Wellness Measurement Approaches for Mobile Healthcare
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
- PDF / 2,519,011 Bytes
- 112 Pages / 439.37 x 666.142 pts Page_size
- 69 Downloads / 217 Views
Gita Khalili Moghaddam Christopher R. Lowe
Health and Wellness Measurement Approaches for Mobile Healthcare 123
SpringerBriefs in Applied Sciences and Technology Computational Intelligence
Series editor Janusz Kacprzyk, Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland
The series “Studies in Computational Intelligence” (SCI) publishes new developments and advances in the various areas of computational intelligence—quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life sciences, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution, which enable both wide and rapid dissemination of research output.
More information about this series at http://www.springer.com/series/10618
Gita Khalili Moghaddam Christopher R. Lowe
Health and Wellness Measurement Approaches for Mobile Healthcare
123
Gita Khalili Moghaddam Department of Pharmacology University of Cambridge Cambridge, UK
Christopher R. Lowe Department of Pharmacology University of Cambridge Cambridge, UK
and
and
Department of Chemical Engineering and Biotechnology University of Cambridge Cambridge, UK
Department of Chemical Engineering and Biotechnology University of Cambridge Cambridge, UK
ISSN 2191-530X ISSN 2191-5318 (electronic) SpringerBriefs in Applied Sciences and Technology ISSN 2625-3704 ISSN 2625-3712 (electronic) SpringerBriefs in Computational Intelligence ISBN 978-3-030-01556-5 ISBN 978-3-030-01557-2 (eBook) https://doi.org/10.1007/978-3-030-01557-2 Library of Congress Control Number: 2018956269 © The Author(s), under exclusive license to Springer Nature Switzerland AG 2019 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to b
Data Loading...
