Table Of ContentPractical Artifcial
Intelligence for Internet
of Medical Things
This book covers the fundamentals, applications, algorithms, protocols, emerging
trends, problems, and research fndings in the feld of artifcial intelligence (AI) and
Internet of Things (IoT) in smart healthcare. It includes case studies, implementation,
and management of smart healthcare systems using AI. The chapters focus on AI
applications in Internet of Healthcare Things, provide working examples on how
different types of healthcare data can be used to develop models and predict diseases
using machine learning and AI, with the real-world examples.
Features:
• Focuses on the Internet of Healthcare Things and innovative solutions
developed for use in the application of healthcare services
• Discusses artifcial intelligence applications, experiments, core concepts,
and cutting-edge themes
• Demonstrates new approaches to analyzing medical data and identifying
ailments using AI to improve overall quality of life
• Introduces fundamental concepts for designing the Internet of Healthcare
Things solutions
• Includes pertinent case studies and applications
This book is aimed at researchers and graduate students in Computer Engineering,
Artifcial Intelligence and Machine Learning, Biomedical Engineering, and
Bioinformatics.
Advances in Smart Healthcare Technologies
Editors: Chinmay Chakraborty and Joel J. P. C. Rodrigues
This book series focus on recent advances and different research areas in smart
healthcare technologies including Internet of Medical Things (IoMedT), e-Health,
personalized medicine, sensing, Big data, telemedicine, etc. under the healthcare
informatics umbrella. Overall focus is on bringing together the latest industrial and
academic progress, research, and development efforts within the rapidly maturing
health informatics ecosystem. It aims to offer valuable perceptions to researchers
and engineers on how to design and develop novel healthcare systems and how to
improve patient’s information delivery care remotely. The potential for making faster
advances in many scientifc disciplines and improving the proftability and success
of different enterprises is to be investigated.
Blockchain Technology in Healthcare Applications
Social, Economic and Technological Implications
Bharat Bhushan, Nitin Rakesh, Yousef Farhaoui, Parma Nand Astya
and Bhuvan Unhelkar
Digital Health Transformation with Blockchain and Artifcial Intelligence
Chinmay Chakraborty
Smart and Secure Internet of Healthcare Things
Nitin Gupta, Jagdeep Singh, Chinmay Chakraborty, Mamoun Alazab
and Dinh-Thuan Do
Practical Artifcial Intelligence for Internet of Medical Things
Emerging Trends, Issues, and Challenges
Edited by Ben Othman Soufene, Chinmay Chakraborty, and Faris A. Almalki
Intelligent Internet of Things for Smart Healthcare Systems
Edited by Durgesh Srivastava, Neha Sharma, Deepak Sinwar, Jabar H. Yousif, and
Hari Prabhat Gupta
For more information about this series, please visit: www.routledge.com/Advances-
in-Smart-Healthcare-Technologies/book-series/CRCASHT
Practical Artifcial
Intelligence for Internet
of Medical Things
Emerging Trends, Issues, and Challenges
Edited by Ben Othman Soufene,
Chinmay Chakraborty, and Faris A. Almalki
Boca Raton London New York
CRC Press is an imprint of the
Taylor & Francis Group, an informa business
Designed cover image: © Shutterstock
First edition published 2023
by CRC Press
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CRC Press is an imprint of Taylor & Francis Group, LLC
© 2023 selection and editorial matter, Ben Othman Soufene, Chinmay Chakraborty, Faris. A.
Almalki; individual chapters, the contributors
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ISBN: 978-1-032-32527-9 (hbk)
ISBN: 978-1-032-32528-6 (pbk)
ISBN: 978-1-003-31547-6 (ebk)
DOI: 10.1201/9781003315476
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by Apex CoVantage, LLC
Contents
About the Editor ........................................................................................................ix
List of Contributors ...................................................................................................xi
Preface......................................................................................................................xv
Book Organization .................................................................................................xvii
Chapter 1 IoT-Based Telemedicine Network Design: Implementation
of a Smart Health Monitoring System in COVID-19 ...........................1
Anirban Bhattacharyya and Pratik Chatterjee
Chapter 2 Detection and Evaluation of Operational Limitations of
Internet Infrastructure of Critical Systems Based on the
Internet of Medical Things in Smart Homes .....................................29
Enes Açıkgözoğlu and Ziya Dirlik
Chapter 3 Fitness-Dependent Optimizer for IoT Healthcare Using
Adapted Parameters: A Case Study Implementation .........................45
Aso M. Aladdin, Jaza M. Abdullah, Kazhan Othman
Mohammed Salih, Tarik A. Rashid, Rafd Sagban,
Abeer Alsaddon, Nebojsa Bacanin, Amit Chhabra,
S. Vimal, and Indradip Banerjee
Chapter 4 Digital Disruption in the Indian Healthcare System ..........................63
Sukanya Roy
Chapter 5 Smart Healthcare Monitoring System Using LoRaWAN
IoT and Machine Learning Methods ..................................................85
Nagarjuna Telagam, Nehru Kandasamy, and D. Ajitha
Chapter 6 Light Deep CNN Approach for Multi-Label Pathology
Classifcation Using Frontal Chest X-Ray ........................................ 105
Souid Abdelbaki, Ben Othman Soufene,
Chinmay Chakraborty, and Sakli Hedi
Chapter 7 Trends in Malware Detection in IoHT Using Deep Learning:
A Review .......................................................................................... 127
Merve Varol Arisoy
v
vi Contents
Chapter 8 IoT-Based Wrist Attitude Sensor Data for Parkinson’s
Disease Assessment for Healthcare System ..................................... 151
Amarendranath Choudhury, Sathish E.,
Dhilleshwara Rao Vana, and L. Ganesh Babu
Chapter 9 Robotics and the Internet of Health Things to Improve
Healthcare: Especially during the COVID-19 Pandemic ................. 169
Leila Ennaceur, Ben Othman Soufene,
Chinmay Chakraborty, and Sakli Hedi
Chapter 10 Artifcial Intelligence at the Service of the Detection
of COVID-19 .................................................................................... 185
Rabiaa Tbibe, Ben Othman Soufene, Chinmay Chakraborty,
and Sakli Hedi
Chapter 11 Monitoring ECG Signals Using e-Health Sensors
and Filtering Methods for Noises ..................................................... 199
Chokri Baccouch, Nizar Sakli, Ben Othman Soufene,
Chinmay Chakraborty, and Sakli Hedi
Chapter 12 Artifcial Intelligence–Enabled Wearable ECG for
Elderly Patients ................................................................................. 221
Nizar Sakli, Chokri Baccouch, Ben Othman Soufene,
Chinmay Chakraborty, Sakli Hedi, and Mustapha Najjari
Chapter 13 Diagnosing of Disease Using Machine Learning in
Internet of Healthcare Things .......................................................... 241
Abhinay Thakur and Ashish Kumar
Chapter 14 Heart Attack Risk Predictor Using Machine Learning and
Proposed IoT-Based Smart Watch Drone Healthcare System ..........263
Arun Anoop M. and Karthikeyan P.
Chapter 15 Thermal Face Image Reidentifcation Based on Variational
Autoencoder, Cascade Object Detector Using Lightweight
Architectures .................................................................................... 291
Jafar Majidpour, Aram M. Ahmed, Bryar A. Hassan,
Mohammed H. Abdalla, Shko M. Qader, Noor B. Tayfor,
and Tarik A. Rashid
Contents vii
Chapter 16 IoT-Based Label Distribution Learning Mechanism for
Autism Spectrum Disorder for Healthcare Application...................305
Anurag Shrivastava, Namita Rajput, P. Rajesh,
and S.R. Swarnalatha
Index...................................................................................................................... 323
About the Editors
Ben Othman Soufene is Assistant Professor of Computer
Science at the University of Gabes, Tunisia, from 2016 to 2021.
He received his Ph.D. in Computer Science from Manouba
University in 2016 for his dissertation “Secure data aggrega-
tion in wireless sensor networks.” He also received M.S. degree
from the Monastir University in 2012. His research interests
focus on the Internet of Medical Things, Wireless Body Sensor
Networks, Wireless Networks, Artifcial Intelligence, Machine
Learning, and Big Data.
Chinmay Chakraborty is Assistant Professor in the Department
of Electronics and Communication Engineering, BIT Mesra,
India, and Postdoctoral Fellow of Federal University of Piauí,
Brazil. His primary areas of research include wireless body area
network, Internet of Medical Things, point-of-care diagnosis,
mHealth/e-Health, and medical imaging. Dr. Chakraborty is
co-editing many books on Smart IoMT, Healthcare Technology
and Sensor Data Analytics with CRC Press, IET, Pan Stanford,
and Springer. Dr. Chakraborty has published more than 150 papers in reputed inter-
national journals, conferences, book chapters, more than 30 books, and more than 20
special issues. He received Young Research Excellence Award, Global Peer Review
Award, Young Faculty Award, and Outstanding Researcher Award.
Faris A. Almalki is Assistant Professor of Wireless Communi-
cations and Drones in Computer Engineering Department at Taif
University and Research Fellow in the Department of Electronic
and Computer Engineering at Brunel University, London. He
holds a B.Sc. in Computer Engineering from Taif University,
an M.Sc. in Broadband and Mobile Communication Networks
from Kent University, and a Ph.D. in Wireless Communication
Networks from Brunel University London. He is a member of
the IEEE Communication Society.
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