Technologies for Healthcare 4.0

Karthik Ramamurthy completed his doctoral degree at the Vellore Institute of Technology Chennai and earned his Master's degree from MIT Campus of Anna University, India. Currently, he holds the position of senior assistant professor in the Centre for Cyber Physical Systems at Vellore Institute of Technology, Chennai. His areas of expertise encompass deep learning, computer vision, digital image processing, and medical image analysis. He has a notable publication record of approximately 70 papers in esteemed peer-reviewed journals and conferences. In addition, he actively serves as a reviewer for scholarly journals published by Elsevier, IEEE, Springer, and Nature. Suganthi Kulanthaivelu is an associate professor in the School of Electronics Engineering, Vellore Institute of Technology, Chennai, India. She has 20 years of teaching and research experience in wireless sensor networks, Internet of Things applications, image processing, artificial intelligence, and industrial IoT. She has published more than 30 research papers in journals and conferences. Kulandairaj Martin Sagayam is an assistant professor in the Department of ECE, Karunya University, India. His areas of interest include pattern recognition, artificial intelligence, and signal processing in imaging. He is an active member of the International Society of Promising Computer Engineers, Copernicus, the Scientific Engineering Research Corporation, the International Association of Computer Science and Information Technology, the International Association of Engineers, and the Indian Society of Electronics and Communication Engineering. Soumi Dutta is an associate professor at the Institute of Engineering & Management, India. Her research interests are data mining, information retrieval, and image processing. She has published 30 papers, 5 book chapters, and 4 patents. She has delivered 27 keynote talks at various international conferences and has been awarded the Rashtriya Shiksha Ratna Award, InSc Research Education Excellence Award, and International Teacher Award (2020-2021) by the Ministry of MSME, Government of India. She is a member of several technical functional bodies such as ACM, IEEE, IFERP, MACUL, SDIWC, Internet Society, ICSES, ASR, AIDASCO, USERN, IRAN, and IAENG. Paryati is an assistant professor at the National Development University "Veteran" Yogyakarta, Indonesia. Her research interests are genetic algorithms, artificial intelligence, expert systems, data mining, machine learning, deep learning systems, fuzzy logic, data analysis, and smart city information systems. She has published 28 papers, 4 book chapters, and 4 books. She is a member of many technical functional bodies.

Chapter 1: Introduction to Healthcare 4.0
Chapter 2: Deep learning-based convolutional neural networks for healthcare systems
Chapter 3: Investigations on the impact of AI models in human health using nutrient analysis from food images
Chapter 4: Medical diagnosis of human heart diseases using supervised learning techniques
Chapter 5: Artificial intelligence to predict heart disease and model constructed using TabPy
Chapter 6: Artificial intelligence integrated approach for healthcare management: a critical analysis
Chapter 7: Privacy preserving blockchain-based healthcare model for EMR - a study
Chapter 8: An exploratory review on Internet of Things in healthcare applications
Chapter 9: Augmented reality/virtual reality for detecting anxiety disorder
Chapter 10: Overview of immersive environment exercise pose analysis for self-rehabilitation training of work-related musculoskeletal pains
Chapter 11: IoT-enabled digital revolution of the healthcare system
Chapter 12: Integrated and intelligent cloud service platforms for transition from Healthcare 1.0 to 4.0
Chapter 13: Trending technologies in patient-centric Healthcare 4.0