IoT-enabled Smart Healthcare Systems, Services and Applications. Группа авторов

219

      225 220

      226 221

      227 222

      228 223

      229 224

      230 225

      231 226

      232 227

      233 228

      234 229

      235 230

      236  231

      IoT‐Enabled Smart Healthcare Systems, Services and Applications

       Edited by

       Shalli Rani

       Chitkara University, Punjab, India

       Maheswar Rajagopal

       VIT Bhopal University, Bhopal, India

       Neeraj Kumar

       Thapar Institute of Engineering and Technology, Patiala, India

       Syed Hassan Ahmed Shah

       IEEE & ACM Senior Member

      This edition first published 2022

      © 2022 John Wiley & Sons, Inc.

      All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, except as permitted by law. Advice on how to obtain permission to reuse material from this title is available at http://www.wiley.com/go/permissions.

      The right of Shalli Rani, Maheswar Rajagopal, Neeraj Kumar and Syed Hassan Ahmed Shah to be identified as the authors of the editorial material in this work has been asserted in accordance with law.

      Registered Office John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, USA

      Editorial Office 9600 Garsington Road, Oxford, OX4 2DQ, UK

      For details of our global editorial offices, customer services, and more information about Wiley products visit us at www.wiley.com.

      Wiley also publishes its books in a variety of electronic formats and by print‐on‐demand. Some content that appears in standard print versions of this book may not be available in other formats.

      Limit of Liability/Disclaimer of Warranty While the publisher and authors have used their best efforts in preparing this work, they make no representations or warranties with respect to the accuracy or completeness of the contents of this work and specifically disclaim all warranties, including without limitation any implied warranties of merchantability or fitness for a particular purpose. No warranty may be created or extended by sales representatives, written sales materials or promotional statements for this work. The fact that an organization, website, or product is referred to in this work as a citation and/or potential source of further information does not mean that the publisher and authors endorse the information or services the organization, website, or product may provide or recommendations it may make. This work is sold with the understanding that the publisher is not engaged in rendering professional services. The advice and strategies contained herein may not be suitable for your situation. You should consult with a specialist where appropriate. Further, readers should be aware that websites listed in this work may have changed or disappeared between when this work was written and when it is read. Neither the publisher nor authors shall be liable for any loss of profit or any other commercial damages, including but not limited to special, incidental, consequential, or other damages.

       Library of Congress Cataloging‐in‐Publication Data

      Names: Rani, Shalli, editor.

      Title: Iot‐enabled smart healthcare systems, services and applications / edited by Shalli Rani, Chitkara University, Punjab, India, Maheswar Rajagopal, VIT Bhopal University, Bhopal, India, Neeraj Kumar, Thapar Institute of Engineering and Technology, Patiala, India, Syed Hassan Ahmed Shah, IEEE & ACM Senior Member.

      Description: Hoboken, NJ : Wiley, 2022. | Includes bibliographical references and index.

      Identifiers: LCCN 2021038154 (print) | LCCN 2021038155 (ebook) | ISBN 9781119816799 (hardback) | ISBN 9781119816805 (adobe pdf) | ISBN 9781119816812 (epub)

      Subjects: LCSH: Medical informatics.

      Classification: LCC R118 .I58 2022 (print) | LCC R118 (ebook) | DDC 610.285–dc23

      LC record available at https://lccn.loc.gov/2021038154 LC ebook record available at https://lccn.loc.gov/2021038155

      Cover Design: Wiley

      Cover Image: © everything possible/Shutterstock

      Preface

      This book presents various features of how smart healthcare can be used to analyze diseases, the underlying methodologies, and related security concerns. Healthcare is a multidisciplinary field that includes a range of aspects such as social issues, healthcare technologies, and healthcare frameworks, all of which affect the healthcare provided to individuals and families. The objectives of healthcare services include patients' security as well as treatment timeliness, effectiveness, and reliability. Smart healthcare comprises m‐health, e‐health, data transmission, smart and intelligent home services, medical devices, and so forth. The Internet of Things (IoT) is a system comprising real‐world things that interact and communicate with each other via networking technologies. Nowadays, IoT is fully involved in the healthcare domain because it is suitable for remote health monitoring, it makes life easier and safer, it helps patients' rehabilitation, and so forth. Healthcare analytics can be used on the gathered data of heterogenous objects to improve healthcare at minimum expense, which is useful for healthcare experts.

In the emerging field of IoT and in the present worldwide scenario, there is a huge demand for healthcare services. It has evolved from the situations and conditions arising day by day to keep ourselves informed and aware of healthcare services. This book is going to attract and provide the platform to researchers, scholars, and industrialists to have an all‐encompassing view of healthcare research We are looking forward to its enhancements and extensions as the healthcare services progression in IoT, which is quite obvious because the health domain is an ever‐demanding area of research in services with the aid of technologies such as machine learning, image processing, data analytics, data gathering, cloud services, remote monitoring, and wireless communications. People will get one platform for architectures, services, use case scenarios, and data management, and this will enable them to formulate new research ideas. Advancements in machine learning, deep learning, cloud computing, and so forth, give a boost to the healthcare domain in the field of IoT. The book provides step‐by‐step guidance starting from the general knowledge and ending toward implementations in form of use case scenarios, and it will guide novice users to work on this domain.