Transformative Technologies : Revolutionizing Healthcare Through Computing and Communication

This book provides a comprehensive study of healthcare system engineering (HCSE), which uses engineering analysis and design concepts to improve healthcare services. It further discusses ethical and legal considerations in the global healthcare industry, the use of virtual and augmented reality in healthcare surgery, and smart healthcare systems for elderly people using Industry 4.0.

This book:

• Showcases the efficient use of financial, human, technical, and organizational resources for the enhancement of the performance and quality of healthcare processes.
• 
  Discusses advanced techniques, input-collecting mechanisms, and features utilized for human behavior analysis applications in various domains.
• 
  Reviews advances in computation, communication, and device technologies for analyzing information on human function and disability.
• 
  Presents artificial intelligence and machine learning-based computation techniques in healthcare systems and biomedical engineering management.
• 
  Explains the use of virtual and augmented reality in healthcare surgery and robotic process automationin themedical field.
  

It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering, and biomedical engineering.

Amrita Rai earned her BTech in Electronics from College of Engineering Chandpur (Nagpur University); MTech in Power Electronics and Electrical Drives, as University Topper, from Maharishi Dayanand University, Rohtak; and PhD in Signal Processing from Thapar University, Patiala (previously Thapar Institute of Engineering and Technology), India, in 1998, 2007, and 2015, respectively. She possesses more than 21 years’ experience in the field of teaching, research, and administration. She is working as the Head of the Department of ECE and EEE and a Professor at the Lloyd Institute of Engineering & Technology, Greater Noida, India. Her areas of interest are adaptive filter design and signal processing with very large‑scale integration implementation, IoT, and sensors for industrial applications. She has published several reputed SCI/Scopus journal and conference papers and attended various national and international conferences. She has guided more than 20 PG and 100 UG students, and she is currently guiding two PhD scholars.

Krishanu Kundu earned his BTech in Electronics and Telecommunication Engineering from Pt. R.S.S. University, Raipur, in 2007; MTech in Embedded System Technologies from Anna University, Chennai, in 2011; and PhD in Electronics and Communication Engineering from Maulana Abul Kalam Azad University of Technology, West Bengal (formerly known as WBUT), in 2021. Presently, he is working as an Associate Professor in the Department of ECE at G.L. Bajaj Institute of Technology and Management, Greater Noida, India. He has taught subjects like Communication Engineering and Embedded Systems at the PG level. His main research interests include the optimization of different types of antenna arrays using different bio‑inspired algorithms, IoT, embedded systems, and artificial intelligence. He has published several reputed SCI/Scopus journals and conference papers and attended various national and international conferences. He has more than 13 years of experience teaching UG and PG level students.

Reshu Agarwal earned her PhD in Computer Science from Apaji Institute of Mathematics and Applied Computer Technology, Banasthali University, Rajasthan. She has done MCA and has 12 years of teaching experience. She is presently working as an Assistant Professor at Amity Institute of Information Technology, Amity University, Noida, UP. She has taught various subjects including Computer Graphics, Data Structures, Theory of Computation, and C/C++ Programming. She has published several research papers in reputed international journals and conferences. Her research interest lies in the field of Data Mining and Inventory Management. She is a Member of the Editorial Review Board of the International Journal of Risk and Contingency Management and an Associate Editor of the International Journal of Decision Support System Technology.

Korhan Cengiz was born in Edirne, Turkey, in 1986. He earned his BSc degrees in Electronics and Communication Engineering from Kocaeli University and Business Administration from Anadolu University, Turkey, in 2008 and 2009, respectively. He earned his MSc in Electronics and Communication Engineering from Namik Kemal University, Turkey, in 2011 and PhD in Electronics Engineering from Kadir University, Turkey, in 2016. He is a world’s top 2% scientist. He is the author of more than 100 papers in the field of Electronics Engineering. He participated as a keynote speaker at several conferences. He has numerous referee and editor positions in several IEEE journals and conferences. He is a Senior Member of IEEE and an Associate Editor of IEEE Transactions.