Medical Internet of Things : Techniques, Practices and Applications book cover
1st Edition

Medical Internet of Things
Techniques, Practices and Applications




ISBN 9780367331238
Published October 29, 2021 by Chapman and Hall/CRC
258 Pages 91 B/W Illustrations

FREE Standard Shipping
USD $160.00

Prices & shipping based on shipping country


Preview

Book Description

In recent years, the Medical Internet of Things (MIoT) has emerged as one of the most helpful technological gifts to mankind. With the incredible development in data science, big data technologies, IoT and embedded systems, it is now possible to collect a huge amount of sensitive and personal data, compile it and store it through cloud or edge computing techniques. However, important concerns remain about security and privacy, the preservation of sensitive and personal data, and the efficient transfer, storage and processing of MIoT-based data.

Medical Internet of Things: Techniques, Practices and Applications is an attempt to explore new ideas and novel techniques in the area of MIoT. The book is composed of fifteen chapters discussing basic concepts, issues, challenges, case studies and applications in MIoT.

This book offers novel advances and applications of MIoT in a precise and clear manner to the research community to achieve in-depth knowledge in the field. This book will help those interested in the field as well as researchers to gain insight into different concepts and their importance in multifaceted applications of real life. This has been done to make the book more flexible and to stimulate further interest in the topic.

 

Features:

  • A systematic overview of concepts in Medical Internet of Things (MIoT) is included.
  • Recent research and some pointers on future advancements in MIoT are discussed.
  • Examples and case studies are included.
  • It is written in an easy-to-understand style with the help of numerous figures and datasets.

This book serves as a reference book for scientific investigators who are interested in working on MIoT, as well as researchers developing methodology in this field. It may also be used as a textbook for postgraduate-level courses in computer science or information technology.

Table of Contents

Preface

Editors

Contributors

1 IoT in the Healthcare Industry

Semanti Chakraborty and Kanik Palodhi

2 Asynchronous BCI (Brain–Computer Interface) Switch for an Alarm

Gitosree Khan, Arijit Banerjee, Aritra Bhattacharjee, Krishnendu Nandi and Akashdeep Bhattacharya

3 Preprocessing and Discrimination of Cytopathological Images

Shouvik Chakraborty, Kalyani Mali, Sankhadeep Chatterjee and Soumya Sen

4 Applications of Internet of Vehicles in the Medical Sector

Kanishka Sharma and Jayanta Mondal

5 CNN-Based Melanoma Detection with Denoising Autoencoder for Content-Based Image Classification

Dhritiman Mukherjee

6 IoT and Fog Computing-Based Smart Irrigation System for the Planting Medicinal Plants

Anil Saroliya, Ananya Singh and Jayanta Mondal

7 IoT Networks for Healthcare

Abhijit Paul and Medha Gupta

8 Medical Internet of Things: Techniques, Practices and Applications

Kinjal Raykarmakar, Shruti Harrison, Souvik Ghata and Anirban Das

9 Issues and Aspects of Medical IoT: A Case-Based Analysis

Subrata Paul and Anupam Das

10 Diagnosis and Treatment of Cardiac Patients During the Pandemic Situation Due to COVID-19: Exploring Possible Application of MIoT

Sudip Chatterjee, Gour Sundar Mitra Thakur and Shyamapriya Chowdhury

11 MIoT: Paralyzed Patient Healthcare

Kinjal Raykarmakar, Shruti Harrison and Anirban Das

12 Vision–X: IoT-Based Smart Navigation System for People with Visual Challenges

Tuhin Utsab Paul and Aninda Ghosh

13 Analysis of Human Emotions-Based Data Using MIoT Technique

Stobak Dutta, Sachikanta Dash and Neelamadhab Padhy

14 Understanding Explainable AI: Role in IoT-Based Disease Prediction and Diagnosis

Chittabrata Mal

15 An Overview on Sleep, Sleep Stages and Sleep Behavior

Santosh Kumar Satapathy and D. Loganathan

Index

...
View More

Editor(s)

Biography

Dr. Anirban Mitra (PhD in Science & Technology - Computer Science) is currently working as an Associate Professor, Research & NTCC (Non-Technical Credit Course) Coordinator in the Department of Computer Science and Engineering (Amity School of Engineering and Technology) of Amity University Kolkata and is also associated with ‘AUK-IT and Tech club’ (a University level IT Club) as Co-Guide. He has 13+ Years of experience in academics. Apart from his regular teaching, mentoring and research guidance, he is actively involved with the academic and research world as an author of books, book chapters and a number of papers in reputed journals and conferences. He is a senior member of IEEE and ACM and member of other reputed societies like CSI (India). He is associated with several journals, conferences and technical workshops as guest editor, reviewer, technical committee member, member of publicity committee, session chair and as an invited speaker. He has played an important role (including delivering keynote talks, invited talks) in participating and organizing several successful academic and research-oriented events. Apart from research guidance and supervising PhD Scholars, his name is included in the list of PhD examiners at several Universities. He was associated with a funded research project, copyrights, and patent. His research area includes Data Science and its application in areas of Knowledge Representation, Social Computing, Social Networking, and Graph Theory.

Dr. Jayanta Mondal is currently working as an Assistant Professor in the School of Computer Engineering, KIIT (Deemed to be) University, Bhunaneswar. Previously, he has worked in reputed universities like MODY University, Laxmangarh and UEM, Kolkata. He completed his PhD in Computer Science and Engineering in 2018 from KIIT as an Institute Scholar. He has over nine years of experience, including three years after his research degree. He has published more than fifteen research articles in different international journals/conferences of repute. His research areas include reversible data hiding, cryptography and data mining.

Prof. Dr. Anirban Das is associated with the University of Engineering & Management, Kolkata, as a Full Professor in Computer Science & Engineering. Prior to that, he was the founder HOD, CSE in Amity University Kolkata. Dr. Das started his career as a software engineer at HCL Technologies Ltd in 2007. He has completed his Doctoral degree in ICT from NIT Durgapur and is pursuing a Post Doctoral fellowship at Thu Dau Mot University, Vietnam. Dr. Das is a Visiting Scientist of University of Malaya, Malaysia. He is the honorary Vice President of the Scientific and Technical Research Association, Eurasia Research, USA; Fellow of Royal Society, UK; Fellow of Nikhil Bharat Siksha Parishad; Fellow of IETE, India; Fellow of ISRD UK; and Fellow of Indian Cloud Computing Association, India. He has authored 11 books; 1 research project funded by DSPSERB, Govt. of India; 51 patents (Indian & International) filed; and more than 56 research publications, mostly in journals and conferences of international repute. He has served as Keynote Speaker/Invited speaker/Session Chair in more than 30 conferences of international repute. He is the invitee as delegate from academics of several national bodies, such as CII, NASSCOM, FICCI and EDCN. He is nominated in WALL OF FAME of myGov as "THE CONFEDERATION OF ELITE ACADEMICIANS OF IICDC" powered by DST, Govt of India, AICTE and myGov, 2019. He is the ‘Innovation Ambassador" certified by MHRD Innovation Cell, Govt. of India. He has a blended experience of almost 15 years in academics, research, and industry. He was awarded with Moulana Abul Kalam Azad Excellence Award of Education 2020; Inclusive Policy Lab Expert, UNESCO, USA, 2019; and University Best Teacher Award (UEM Kolkata), 2018. He is the recipient of Swami Vivekananda Yuba Samman 2015 by HCF, West Bengal and Silver Champ Xtra-Miles Award 2009 by Employee First Council- HCL Technologies Ltd. His research interests include Blockchain Technologies, IoT, Business Forecasting and Machine Learning.