Reinvention of Health Applications with IoT
Challenges and Solutions
- Available for pre-order. Item will ship after January 4, 2022
This book discusses IoT in healthcare and how it enables interoperability, machine-to-machine communication, information exchange, and data movement. It also covers how healthcare service delivery automates patient care with the help of mobility solutions, new technologies, and next-gen healthcare facilities with challenges faced and suggested solutions prescribed.
Reinvention of Health Applications with IoT: Challenges and Solutions presents the latest applications of IoT in healthcare along with challenges and solutions. It looks at a comparison of advanced technologies such as Deep Learning, Machine Learning, and AI and explores the ways they can be applied to sensed data to improve prediction and decision-making in smart health services. It focuses on society 5.0 technologies and illustrates how they can improve society and the transformation of IoT in healthcare facilities to support patient independence. Case studies are included for applications such as smart eyewear, smart jackets, and smart beds. The book will also go into detail on wearable technologies and how they can communicate patient information to doctors in medical emergencies.
The target audiences for this edited volume is researchers, practitioners, students, as well as key stakeholders involved in and working on healthcare engineering solutions.
Table of Contents
1. IOT for Regenerative Medicine. 2. Deep Machine Learning for Sensing, Analysis, and Interpretation in IoT Healthcare. 3. IoT Based Personalized Health and Fitness Monitoring, Tracking and Control. 4. Learning IoT Healthcare with Edge Computing. 5. Bio-inspired Big Data Management in Healthcare. 6. Cloud-Assisted IoT-Based Health Status Monitoring Framework: Benefits and Impacts. 7. Edge Based Machine Learning for Blockchain in Smart Health. 8. The Role of Analytics in Industrial Internet of Things. 9. Energy Harvesting Technology for IoT Health. 10. Smart Textile for IoT-Health. 11. IoT in mHealthcare. 12. IoT System Architectures in Healthcare. 13. Security and Privacy Issues in IoT Based Healthcare Systems. 14. Implantable Electronics for Body Sensor Networks. 15. Predictive Modeling and Optimization for Improving Healthcare. 16. Case Study: Emerging eHealth IoT Applications.
Dr. Ambikapathy, holds PhD degree. She is having 17 years of teaching experience. Currently she is working as Head of Department of Electrical and Electronics Engineering and head of IPR cell at Galgotias College of Engineering College and Technology. She has authored 9 engineering books; she has filed 8 Patents, Published 30 research papers in various reputed International Journals (SCOPUS and SCI) and conferences. She is involved in various funded projects from Government organizations such as MSME and Dr.Abdul Kalam Technical University, Lucknow. She has received various awards Women Research Award International from Organization of Scientific Research and Development, International AWARD for Women Leadership from World Federation Science and Technology and Research foundation of India and Dedicated services award from Rotary Club Delhi South end. She is reviewer of many reputed International journals. She also delivers expert lecture on various topics such as Awareness on IPR, Motivational way to inspire students and Implementation of solar micro-plant at distribution side. During her service as a head of department she made MOU with different industries and through which has organized many events. She has also filed patent through collaborative research.
Dr. Shobana, is currently working as Assistant Professor in the department of EEE in Galgotias College of Engineering and Technology, Greater Noida, India She has more than five years of experience in teaching both UG and PG. She is the active member of IEEE and the student counselor of WIE-IEEE in GCET.Her field of interest is in the areas of soft computing, AI and system Identification. She has published many papers in Scopus and international conferences and has written few book chapters on ML.
Dr. Logavani, Assistant Professor is associated with the Government College of Engineering, Salem, Tamil Nadu since the year 2013 with an academic experience of 14 years. She had completed the doctoral degree in the area of power system economic scheduling. She has published articles in reputed journals and conferences. She is the active member of IEEE and the student counselor of IEEE student chapter of GCE. She has been actively involved in various academic and administrative works in her career. Her area of expertise includes Power Electronics, Renewable Energy and Embedded Control.
Dr. Dharmasa is an IEEE Senior Member and working as a Program Manager MSc EE under Electrical and Computer Engineering Department at National University, Oman. He has published 30 papers in the international conferences and journals. He is associated with international journals such as Be Press Canada, Bulgarian Academy, EU IET UK and IEEE USA. His area of research interest includes: Strategic Evaluation of Performance of wireless network for multimedia traffic. Power System Analysis & HV; Power System Protection; Reliability; Renewable Energy; Engineering Industrial Practice, Counselling on Science and Engineering Education & library information. In the year 2013, he is winner of Outstanding IEEE Branch Counselor and Advisor award from IEEE President, USA and in the year 2015 received outstanding Recruitment Officer Award from IEEE USA. He received meritorious research grant from AICTE & CSIR New Delhi and Power research Development Corporation (PRDC), Bengaluru. Youngest-Professor Award from SNIST-Deemed University, Hyderabad. 2017 become IJEE Associate Member Japan and he delivered expert at talks by various Universities and Ministries for the various countries as such India, Saudi Arabia, Bahrain, UAE, Eritrea and Oman. In 2019 year, he received 10 year contributor award from IEEE Oman Section.