The text 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 automation for medical 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.
Table of Contents:
1. Robotics in Healthcare: Advancements, Challenges, and Future Directions. 2. AI-Powered Strategies for Early Detection and Prevention of Severe Diseases. 3. Robotics Process Automation for Medical Field. 4. Advances in Bone Tissue Engineering: Addressing challenges in conventional techniques for treating Bone Defects and delving into recent advancements. 5. The Future of Healthcare: Integrating Robotic Process Automation for Smarter Operations. 6. Digital Therapeutics for Chronic Pain Management: Exploring the Emerging Field of Digital Therapeutics (Software-Based Treatments) for Managing Chronic Pain without the use of Opioids. 7. Learning - based 3D LiDAR Point Cloud Homogeneous Spatial Region Segmentation. 8. Enhanced Multifactor Authentication Scheme for Telecare Medical Information System (TMIS). 9. The use of Data mining Techniques in the Healthcare Industry. 10. A Meta-analysis for Medical Health Records. 11. Early detection of dengue disease with ensemble learning methods based on SMOTE technique.
About the Author :
Amrita Rai Received the B. Tech. (Electronics) degree from College of Engineering Chandpur (Nagpur University), the M. Tech. Degree (Power electronics and electrical drives) as University Topper from Maharishi Dayanand University, Rohtak and PhD. Degree (Signal Processing) from Thapar University Patiala (previously Thapar Institute of Engineering and Technology), India in 1998, 2007and 2015 respectively. She possesses more than 21 years’ experience in the field of teaching, research, and administration. She is working as Head of department ECE & EEE and Professor in Lloyd Institute of Engineering & Technology, Greater Noida, and 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 & International Conferences. She has guided more than 20 PG and 100 UG students and currently guiding two PhD. Scholar.
Krishanu Kundu received his BTech degree in Electronics & Telecommunication Engineering from Pt. R.S.S. U University, Raipur in 2007 and received his MTech degree in Embedded System Technologies from Anna University, Chennai in 2011. He completed his PhD degree in Electronics & Communication Engineering from Maulana Abul Kalam Azad University of Technology, West Bengal Formerly known as WBUT in 2021. Presently, he is working as Associate Professor in the department of ECE, G.L. Bajaj Institute of Technology and Management, Greater Noida, India. He has taught subjects like Communication Engineering and Embedded systems at PG level. His main research interest is 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 journal and conference papers and attended various National & International Conferences. He has more than 13 years of experience teaching UG and PG level students.
Reshu Agarwal has completed her Ph.D. in Computer Science from Apaji Institute of Mathematics and Applied Computer Technology, Banasthali University, Rajasthan. She has done M.C.A and has 12 years of teaching experience. She is presently working as Assistant Professor in Amity Institute of Information Technology, Amity University, Noida, UP. She had taught various subjects including Computer Graphics, Data Structures, Theory of Computation, C/C++ Programming. She had 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 the member of Editorial Review Board of International Journal of Risk and Contingency Management and Associate Editor of International Journal of Decision Support System Technology.
Korhan Cengiz was born in Edirne, Turkey, in 1986. He received the BSc degrees in Electronics and Communication Engineering from Kocaeli University and Business Administration from Anadolu University, Turkey in 2008 and 2009 respectively. He took his MSc degree in Electronics and Communication Engineering from Namik Kemal University, Turkey in 2011, and the PhD degree in Electronics Engineering from Kadir University, Turkey in 2016. He is World top 2% scientist. He is author of more than 100 papers at the field of Electronics Engineering. He participated as a keynote speaker to several conferences. He has numerous referee and editor positions in several IEEE Journals and Conferences. He is Senior Member of IEEE and Associate Editor of IEEE Transactions.
