Table Of ContentDisruptive Developments in
Biomedical Applications
This book covers advancements and future challenges in biomedical application development using
disruptive technologies like artifcial intelligence (AI), the Internet of Things (IoT), and signal
processing. The book is divided into four main sections, namely, medical image processing using AI;
IoT and biomedical devices; biomedical signal processing; and electronic health records, including
advances in biomedical systems. It includes different case studies of biomedical applications
using different AI algorithms related to diabetes, skin cancer, breast cancer, cervical cancer, and
osteoarthritis.
Features:
• Covers different technologies like AI, IoT, and signal processing in the context of
biomedical applications.
• Reviews medical image analysis, disease detection, and prediction.
• Comprehends the advantage of recent technologies for medical record keeping through
electronic health records (EHRs).
• Presents state-of-the-art research in the feld of biomedical engineering using various
physiological signals.
• Explores different bio sensors used in healthcare applications using IOT.
This book is aimed at graduate students and researchers in AI, medical imaging, biomedical
engineering, and IoT.
Disruptive Developments in
Biomedical Applications
Edited by Swati V. Shinde, Parikshit N. Mahalle,
Varsha Bendre and Oscar Castillo
Boca Raton London New York
CRC Press is an imprint of the
Taylor & Francis Group, an informa business
First edition published 2023
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© 2023 selection and editorial matter, Swati V. Shinde, Parikshit N. Mahalle, Varsha Bendre and Oscar Castillo;
individual chapters, the contributors
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ISBN: 978-1-032-22470-1 (hbk)
ISBN: 978-1-032-22471-8 (pbk)
ISBN: 978-1-003-27269-4 (ebk)
DOI: 10.1201/9781003272694
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Contents
Editor Biographies ............................................................................................................................ix
List of Contributors ...........................................................................................................................xi
Preface..............................................................................................................................................xv
PART I AI/ML for Biomedical Applications
Chapter 1 Recent Advances of Artifcial Intelligence (AI) for Nanobiomedical
Applications: Trends, Challenges, and Future Prospects .............................................3
J. G. Gujar, Sonali Kadam, and Ujwal D. Patil
Chapter 2 Medical Imaging Modalities and Different Image Processing Techniques:
State of the Art Review .............................................................................................. 17
S. Lalitha, T. Sanjana, H. T. Bhavana, Ishan Bhan, and G. Harshith
Chapter 3 Prognosis and Diagnosis of Disease Using AI/ML Techniques ................................ 37
K. V. Sandhya and Jithu Jerin James
Chapter 4 AI-Based Approach for Brain Tumor Detection and Classifcation .......................... 53
Shweta Pandav and Dr. Lenina SVB
Chapter 5 Prediction and Classifcation of Alzheimer’s Disease Using Machine
Learning Models ........................................................................................................ 67
Santrupti M. Bagali, S. Sanjana, Priyanka. R, Sara Sadiya,
and Deepa N. Reddy
Chapter 6 Classifcation of Histopathology Images of Lung Cancer Using
Convolutional Neural Network (CNN) ...................................................................... 75
Neha Baranwal, Preethi Doravari, and Renu Kachhoria
Chapter 7 Case Study on Oropharyngeal Cancer Prediction and Diagnosis and
Management Based Upon MRI, CT Scan Imaging Techniques ................................ 91
Pallavi Bhosle, Hujeb Pathan, Ganesh Tapadiya, and Md. Irshad Alam
PART II IOT and Smart Healthcare
Chapter 8 Introduction to Smart Healthcare Using IoMT ........................................................ 109
Varsha Bendre and Deepti Khurge
v
vi Contents
Chapter 9 A Webcam-Based Belt-System for Respiratory and Chest-Expansion
Measurements ........................................................................................................... 127
Niveditha, Rohan Gupta, Anup Bhat, Kalyana Chakravarthy
Bairapareddy, Rahul Magazine, and Ramesh R. Galigekere
Chapter 10 Novel Data Analysis Framework in Smart City Healthcare .................................... 147
Swapnaja Hiray and Bhramaramba Ravi
PART III Bio-Signal Processing
Chapter 11 Evolution of Automatic Epilepsy Detection and Classifcation
Techniques: A Survey............................................................................................... 161
Neeta Hemant Chapatwala and Dr. Chirag N. Paunwala
Chapter 12 Evaluation of Boosting Algorithms for P300 Detection in EEG Signals ................ 173
Priyanka Jain, Subhash Tatale, Dr. Nivedita Bhirud,
Rutuja Pote, Vinaya Kumar, Purvi Sampat, and N. K. Jain
Chapter 13 Comprehensive Study of Brain–Computer Interface (BCI) with
Emphasis on Strategies Used for Processing the Signals ......................................... 189
Vrushali Ganesh Raut, Pranoti P. Mane, and Supriya O. Rajankar
Chapter 14 Fetal Electrocardiogram Extraction Using Adaptive Filters Approach ...................203
Manjiri A. Ranjanikar, Sagar V. Joshi, Jaishri M. Waghmare,
Swati V. Shinde, and Rachana Y. Patil
Chapter 15 Detection of Heart Functioning Abnormalities (Arrhythmia) Using ECG
Signals: A Systematic Review ..................................................................................229
Ketan Sanjay Desale, Swati V. Shinde, Vaishnavi Patil, and
Parth Shrivastava
Chapter 16 Heart Rate Variability Analysis in Healthy Male Subjects
with Comprehensive Age Groups ............................................................................. 241
Anjali C. Birajdar and Vijaya R. Thool
PART IV Electronic Health Records
Chapter 17 Electronic Health Records: Need, Challenges, and Future Scope ...........................259
Priya M. Shelke and J. V. Bagade
Contents vii
Chapter 18 Role of EHR in Cancer Detection: Need, Challenges, and Future
Scope of EHR........................................................................................................... 275
Pratiksha R. Deshmukh and Rashmi Phalnikar
PART V Recent Devlopement in Biomedical Applications
Chapter 19 Implantable Pacemaker Low Power Telemetry Unit................................................285
Santosh D. Chede
Chapter 20 Recent Advances in Drug Delivery Systems: MEMS Perspective..........................299
H. T. Bhavana, M. Anantha Sunil, T. Sanjana, and B. Harshitha
Chapter 21 Estimating the Blood-Vessel Response to Vaso-Active Agents
by Microscope Video Image Processing.................................................................. 311
Rohit Nayak, Mikkel Brydegaard, and Ramesh R. Galigekere
Chapter 22 Organ Donation and Transplantation Challenges, Opportunities,
and the Role of Blockchain ......................................................................................325
Rachana Y. Patil, Yogesh H. Patil, Sujeet Kumar Gupta,
and Aparna Bannore
Index .............................................................................................................................................. 341
Editor Biographies
Swati V. Shinde holds a PhD in computer science and engineering from
Swami Ramanand Teerth Marathwada University, Nanded. She has a total
of 22 years of teaching experience and currently is Professor of Computer
Engineering and Dean—Research & Developments in Pimpri Chinchwad
College of Engineering (PCCoE), Pune. She worked as a HOD-IT for seven
years in PCCoE. Her research interests include machine learning, deep
learning, soft computing, artifcial neural network, and fuzzy logic. She has
published 95+ research papers in reputed conferences and journals. Five of
these are published in the prestigious SCI indexed journals. She has received the fve Best Paper
Awards at different IEEE Conferences. She has fled fve research patents and received the DST
grant of almost Rs. 36 lakhs for the research project. She also has received a research grant from
SPPU University, Pune, the International FDP grant from SPPU, and also the conference grant
from AICTE. She is a certifed trainer and ambassador of NVDIA’s Deep Learning Institute. She
was conferred the “Dr. APJ Abdul Kalam Women Achievers Award” by IItechBanglore. She was
awarded the Indo Global Engineering Excellence Award by Indo Global Chamber of Commerce
Industries and agriculture. She has delivered 20+ research talks in various workshops, STTPs, etc.
Currently she is a SPPU-approved PhD supervisor and is guiding four PhD research scholars.
Dr. Parikshit N. Mahalle is a senior member of IEEE and Professor and Head
of the Department of Artifcial Intelligence and Data Science at Vishwakarma
Institute of Information Technology, Pune, India. He completed his PhD at
Aalborg University, Denmark, and continued as Post-Doc Researcher at CMI,
Copenhagen, Denmark. He has 22+ years of teaching and research experi-
ence. He is a member of the Board of Studies in Computer Engineering,
Ex-Chairman Information Technology, SPPU, and various universities and
autonomous colleges across India. He has nine patents, 200+ research publi-
cations (Google Scholar citations-2020 plus, H index-21, and Scopus Citations are 986 with H index
-14) and has authored/edited 40+ books with Springer, CRC Press, Cambridge University Press,
etc. He is editor in chief for IGI Global—International Journal of Rough Sets and Data Analysis;
Associate Editor for IGI Global—International Journal of Synthetic Emotions and Inter-science
International Journal of Grid and Utility Computing; member of the Editorial Review Board for
IGI Global—International Journal of Ambient Computing and Intelligence. His research interests
are machine learning, data science, algorithms, Internet of Things, identity management and secu-
rity. He is a recognized PhD guide of SSPU, Pune, and s guiding seven PhD students in the area of
IoT and machine learning. Recently, four students successfully defended their PhDs. He is also the
recipient of “Best Faculty Award” from Sinhgad Institutes and Cognizant Technologies Solutions.
He has delivered 200+ lectures at the national and international level.
Varsha Bendre received her bachelor’s degree in electronics and telecommu-
nication engineering from Saint Gadge Baba Amravati University, Amravati,
and her ME degree from Savitribai Phule Pune University in 2000 and 2010
respectively. After her ME, she completed her PhD in the area of nanotech-
nology and low power VLSI at Savitribai Phule Pune University, Pune, and
Maharashtra, India, in Jan 2020. The area of her research work is analog
circuit design at a very deep submicron technology using carbon nanotube
feld effect transistors. She has published fve research papers in various
SCI/Scopus indexed journals and 30 research papers in peer-reviewed international conferences.
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