About the Book
The aim of proposed book is to provide researchers and students with a comprehensive understanding of the evolving landscape of Next Generation Computing techniques for Biomedical Applications in digital health over traditional health. A wide, multidisciplinary notion called "digital health" or "digital healthcare" comprises ideas from the point where technology and healthcare converge. Digital health extends digital transformation to the healthcare sector and includes software, hardware, and solutions. The extensive field of digital health, which includes wearable technologies, telehealth and telemedicine, and personalised medicine, as well as mobile health (mHealth) apps and health information technology (IT). Benefits of digital health over traditional healthcare practices are reducing hospital re-admissions, cost savings, enhancing treatment adherence, reduce travel time, increases patient engagement and many more. So, today's healthcare system is becoming more and more dependent on digital technology. The proposed book covers next generation computing techniques for biomedical applications.
This book addresses the different seen and unseen problems which lie within the landscape of Next Generation Computing, and presents an innovative solution to healthcare. The primary focus of the book is to enhance the learning of postgraduate students and research scholars in the research area of next generation computing techniques for biomedical applications.
Key Features:
To help beginners and professionals in the field gain the most recent advances in healthcare systems
For industrial and academic researchers
Outlines the key design issues and future directions for research in next-generation computing for biomedical applications.
Explains the underlying ideas behind numerous approaches, including artificial intelligence, machine learning, deep learning, etc., with practical applications
Table of Contents:
PART1 INTRODUCTION TO COMPUTING TECHNIQUES IN BIOMEDICAL FIELDS
1 Computing Techniques: Advantages, challenges and opportunities
2 Quantum computing in healthcare
3 Computing techniques in medical practices
4 Reconfigurable computing for healthcare application
5 AI ethics in biomedical practices
PART 2 COMPUTING TECHNIQUES IN BIOMEDICAL DATA PROCESSING & SECURITY
6 Artificial Intelligence for Biomedical data analysis and processing
7 Enhancement, segmentation and classification algorithms along with performance metrics for biomedical data processing
8 Big data analytics process to improve healthcare processes
9 Bio-inspired algorithms for biomedical data applications
10 Formation of Secure Biomedical Data Sharing on Cloud Platforms
11 Blockchain technology for secure distributed patient record
12 Case studies: Visual analysis, Prediction and Evaluation of Biomedical data in the context of big data
PART 3 COMPUTING TECHNIQUES IN BIOMEDICAL SIGNAL AND IMAGE PROCESSING
13 AI image recognition and processing technology in Medical Diagnostics
14 Predictive analysis in Medical Imaging
15 AI techniques in Brain signal processing for neural disorders
16 Case studies: Image processing modules for cancer detection & cure
SECTION 4 ARTIFICIAL INTELLIGENCE FOR DISEASE PREDICTION
17 Feature identification and selection for smart healthcare models
18 Intelligent Hyperparameter Optimization AI Model for the detection of Early Disease Diagnostics
19 Involvement with Medical Resources Allocation and Health 4.7 Status based on visual analytics of big data
20 AI Techniques in diagnostic tool for cardiovascular risk prediction
21 Computing Algorithm approach in prediction of Liver Cancer
SECTION 5 VIRTUAL HEALTHCARE APPLICATION & HUMEN COMPUTER INTERFACES
22 Role of virtual assistants for healthcare operations
23 Digital Twin in Healthcare: Advantages, challenges and applications
24 Smart Mobile apps and wearable devices for healthcare
25 Brain computer interfaces (BCI)
26 Case studies: Virtual child care, pregnant women or other patient monitoring systems
About the Author :
Dr. Deepika Ghai completed her Ph.D in the area of Signal and Image Processing from Punjab Engineering College (Deemed to be University), Chandigarh. She did her M.Tech in VLSI Design & CAD from Thapar University, Patiala and B.Tech in Electronics and Communications Engineering from Rayat Institute of Engineering and Technology, Ropar. She is associated with Lovely Professional University as an Assistant Professor with more than five years of experience in academica. She has received Dr. C.B. Gupta Award in 2021 at Lovely Professional University. She has published more than 30 research papers in refereed journals and conferences. She has worked as a session chair, conference steering committee member, editorial board member and reviewer in international/national IEEE Journal and conferences. She has also published edited books, “Health Informatics and Technological Solutions for Coronavirus (COVID-19)” in CRC Taylor & Francis and “Machine Learning Algorithms for Signal and Image Processing” in WILEY-IEEE Press. She is associated as life member of Indian Science Congress. Her area of expertise includes Signal and Image Processing, Bio-medical Signal and Image Processing, and VLSI Signal Processing.
Dr. Suman Lata Tripathi is working as Professor in Lovely Professional University with more than 21 years of experience in academica. She has completed her Ph.D. in the area of microelectronics and VLSI Design from MNNIT, Allahabad. She did her MTech in Electronics Engineering from UP Technical University, Lucknow and BTech in Electrical Engineering from Purvanchal University, Jaunpur. She is also a remote post-doc researcher at Nottingham Trent University, London, UK in the year 2022. She has published more than 111 research papers in refereed Springer, Elsevier, IEEE and IOP science journals, conference proceeding and e-books. She has also published 13 Indian patents and 4 copyright. She has guided 4 PhD scholar and 4 are under submission stage. She has organized several workshops, summer internships, and expert lectures for students. She has worked as a session chair, conference steering committee member, editorial board member, and peer reviewer in international/national IEEE, Springer, Wiley etc., Journal and conferences. She has received the “Research Excellence Award” in 2019 and “Research Appreciation Award” in 2020, 2021 at Lovely Professional University, India. She is recipient of IGEN Women’s for Green Technology “Women’s Achievers Award” on International Women’s Day, 8th March-2023. She had received the best paper at IEEE ICICS-2018. She has also received funded project from SERB DST under the scheme TARE in the area of Microelectronics devices. She has edited and authored more than 19 books in different areas of Electronics and electrical engineering. She is associated for editing work with top publishers like Elsevier, CRC Taylor and Francis, Wiley-IEEE, SP Wiley, Nova Science and Apple academic press etc. She is also working as book series editor for title, “Smart Engineering Systems” CRC Press, “Engineering system design for sustainable developments” & “Decentralized Systems & Next Generation Internet” Wiley-Scrivener, and conference series editor for “Conference Proceedings Series on Intelligent systems for Engineering designs” CRC Press Taylor & Francis. She is serving as academic editor of journal “Journal of Electrical and Computer Engineering” (Scopus/WoS, Q2), “International Journal of Reconfigurable Computing, Scopus, Q3) and “Active and Passive Electronic Component” (Scopus, Q4) Hindawi. She is associated as senior member IEEE, Fellow IETE and Life member ISC and is continuously involved in different professional activities along with academic work. Her area of expertise includes microelectronics device modeling and characterization, low power VLSI circuit design, VLSI design of testing, and advanced FET design for IoT, Embedded System Design, reconfigurable architecture with FPGAs and biomedical applications etc.
Dr. Vinaytosh Mishra is an Associate Professor for Healthcare Management (Management, Digital Health, and Heath Analytics) at the College of Healthcare Management and Economics, Gulf Medical University, Ajman (UAE). Dr. Mishra has done his engineering and Ph.D. from the prestigious India Insititute of Technology (BHU), Varanasi. He has more than 17 years of experience in industries like Healthcare, EdTech, Finance, and Information Technology. He is also a mentor for leading business incubators in India and UAE and a domain expert for AI implementation with Al Hathboor Bikal.ai, UAE. He has published in journals of international repute (ABDC/Scopus/SSCI) and served as an editorial board member of reputed journals such as Hospital Topics, Frontiers in Digital Health, and Abhigyan. He also has an international patent in the field of image processing and NLP-based innovative solution in healthcare. His research interests include Digital Transformation, Healthcare Management, Health Economics, Healthcare Supply Chains, Complex Adaptive Systems, Healthcare Systems, and Digital Health.
Dr. Prateek Agrawal is working as Professor & Deputy Dean at School of Computer Science & Engineering, Lovely Professional University, Phagwara, Punjab, India. He has received his Ph.D. degree from IKG - Punjab Technical University, Kapurthala, Punjab (India) in year 2018 and Postdoc from May 2019-April 2021 from University of Klagenfurt, Austria. He qualified GATE in year 2006. He received his B.Tech. degree from Uttar Pradesh Technical University, Lucknow, Uttar Pradesh, India in year 2007 and M.Tech. degree from ABV - Indian Institute of Information Technology & Management, Gwalior, Madhya Pradesh, India in year 2009. His research areas include Natural Language Processing, Machine Learning, Computer Vision, Video Processing, Expert Systems, Deep Learning applications etc. He worked on three European Union funded agency projects during his post doctorate research. He is also a member of different reputed organizations like IEEE, IET, MIR lab, IAENG society etc. He has won Research Appreciation award in the year of 2016, 2018, 2019, 2021 at Lovely Professional University. He has published 60+ number of research papers in Scopus/SCIE indexed journals and conferences, national patents, edited books, book chapters. His Scopus citations are 394 and h-index is 11. He chaired eight sessions in various international conferences. He is reviewer of many SCIE journals like Multimedia tools and Applications, Plos One, PeerJ, Oxford computer science, IEEE Access, Ambient intelligent & humanized computing, CMC, IEEE transaction journals etc.
