Smart Distributed Embedded Systems for Healthcare Applications

by Preeti Nagrath (Editor), Jafar A. Alzubi (Editor), Bhawna Singla (Editor), Joel J. P. C. Rodrigues (Editor), A. K. Verma (Editor)

Overview

This book discusses the applications and optimization of emerging smart technologies in the field of healthcare. It further explains different modeling scenarios of the latest technologies in the healthcare system and compares the results to better understand the nature and progress of diseases in the human body, which would ultimately lead to early diagnosis and better treatment and cure of diseases with the help of distributed technology.

　

• Covers the implementation models using technologies such as artificial intelligence, machine learning, and deep learning with distributed systems for better diagnosis and treatment of diseases.
• Gives in-depth review of technological advancements like advanced sensing technologies such as plasmonic sensors, usage of RFIDs, and electronic diagnostic tools in the field of healthcare engineering.
• Discusses possibilities of augmented reality and virtual reality interventions for providing unique solutions in medical science, clinical research, psychology, and neurological disorders.
• Highlights the future challenges and risks involved in the application of smart technologies such as cloud computing, fog computing, IOT, and distributed computing in healthcare.
• Confers to utilize the AI and ML and associated aids in healthcare sectors in the post-Covid 19 period to revitalize the medical setup.

　

Contributions included in the book will motivate technological developers and researchers to develop new algorithms and protocols in the healthcare field. It will serve as a vast platform for gaining knowledge regarding healthcare delivery, health- care management, healthcare in governance, and health monitoring approaches using distributed environments. It will serve as an ideal reference text for graduate students and researchers in diverse engineering fields including electrical, electronics and communication, computer, and biomedical fields.

Product Details

ISBN-13:	9781032183497
Publisher:	CRC Press
Publication date:	11/29/2024
Series:	Explainable AI (XAI) for Engineering Applications
Pages:	198
Product dimensions:	6.12(w) x 9.19(h) x (d)

About the Author

Preeti Nagrath, Joel J. P. C. Rodrigues

Table of Contents

Chapter 1: Healthcare Engineering Using AI and Distributed Technologies

Ashish Kumar, Bennett University, Greater Noida, Uttar Pradesh, India

Prince Sareen, Bharati Vidyapeeth’s College of Engineering, New Delhi, India

Aman Arora, University of Texas, Austin, USA

1.1 Introduction:
1.2 Related work
1.3     Impact of AI in the healthcare industry
1.4 Transforming healthcare with distributed computing
1.5 AI-based Robots in the healthcare ecosystem
1.6 Conclusion and Future Scope

Chapter 2: Cloud Computing in Healthcare: A Systematic Study

Raunak Negi, Jishnu Bhardwaj, and Preeti Nagrath
Bharati Vidyapeeth’s College of Engineering, New Delhi, India

2.1. Introduction
2.2. Literature Review
2.3. MEDLINE
2.4 Monitoring Software for the Cloud
2.5 Biomedicine and healthcare benefit from cloud computing
2.6 Biotech Solutions in the Cloud
2.7. Cloud-based Molecular Simulation Tools
2.8 Cloud-based Medical Imaging Solutions
2.9. Medical Solutions in the Cloud
2.10. Fog computing and healthcare
2.11. Threats with cloud computing
2.12. Future Research
2.13 Conclusion

 

Chapter 3:  Medical Information Extraction of Clinical Notes and Pictorial Visualization of Electronic Medical Records Summary Interface

Praveen Singh and Gopal Chaudhary
Bharati Vidyapeeth’s College of Engineering, New Delhi, India

Joao Alexandre Lobo Marques
University of Saint Joseph Macau, China

3.1 Introduction
3.2 Related works
3.3 Pictorial Visualization of data
3.4  Methodology for information extraction
3.5  Results
3.6  Conclusion and future work

Chapter 4: Investigations on RFID Enabled Healthcare Usage and Adoption Issues

Pankaj Palta, Rahul Kakkar, Sumeet Goyal, Manvinder Sharma
CGC – College of Engineering, Punjab, India

Joginder Singh, Chandigarh Group of Colleges, Punjab, India

4.1 Abstract
4.2 Background
4.3 RFID in Health Care System
4.4 RFID Adoption Issues
4.5 Conclusion
References

Chapter 5: Photonic crystal fiber plasmonic sensor for applications in medicine

Monika Kiroriwal and Poonam Singal
Deenbandhu Chhotu Ram University of Science & Technology, Murthal, Haryana, India

5.1 Introduction
5.2 Background and development of photonic crystal fiber
5.3 Plasmonic sensor based on photonic crystal fiber
5.4 Fabrication Techniques
5.5 Future applications of plasmonic sensors
5.6 Conclusion

Chapter 6:  (Augmented reality as a boon to disability)

Ashish Kumar
Bennett University, Greater Noida, Uttar Pradesh, India

Raja
Bharati Vidyapeeth’s College of Engineering, New Delhi, India

Muhammad Fazal ljaz
Sejong University, Seoul, South Korea

6.1 Introduction: Aim and real use cases of augmented reality
6.2 Related work And Discussion
6.3 Technology Advancement Using AR for Empowering Disabled People
6.4 AR solutions for teaching specialized students
6.5 AR accessible technology to people
6.6 Conclusion

 

Chapter 7:  (Augmented and Virtual Reality: Transforming the Future of Psychological and Medical Sciences)

Gurjinder Singh, Anjali Kataria, Shinnu Jangra, Rubina Dutta, Archana Mantri
Chitkara University Institute of Engineering and Technology, Punjab, India

Jasminder Kaur Sandhu
Chandigarh University, Gharuan, Mohali, India.

Thennarasan Sabapathy
Universiti Malaysia Perlis (UniMAP),
Perlis, Malaysia

7.1.  Introduction
7.2  Use of AR Technology in Medical Science
7.3  Challenges and Opportunities
7.4    Conclusion

 

Chapter 8: Artificial Intelligence in Healthcare: Perspectives from Post-Pandemic times

Tapash Rudra 
Amity Institute of Biotechnology, Amity University, Kolkata, India

Shyam Bihari Goyal
City University, Selagor, Malaysia

8.2 Introduction
8.3 Applications of artificial intelligence (AI) in healthcare before Covid-19 pandemic
8.4 An Account of artificial intelligence (AI) guided aids in healthcare: Scenario from post pandemic times
8.5 Discussion
8.6 Conclusion

 

Chapter 9: Bioweapons v/s Computer Based Counter Measure Techniques and Mathematical modeling for prediction of Covid-19

Joginder Singh, Gurinderjit Kaur
Chandigarh Group of Colleges, Landran, Punjab, India

Rinkesh Mittal, Sukhdeep Kaur, Kuldeep Sharma
Chandigarh Engineering College, Landran, Punjab, India

9.1  Introduction and history
9.2  Genetically Engineered pathogens 
9.3 Counter measure by computer based techniques
9.4 Mathematical model for COVID-19 Prediction
9.5 Conclusion

 

Chapter 10: Evolution of Healthcare Sector and Evolving Cyber Attacks – A Summary

Jai Ganesh Sekar, Arun Chokkalingam, Dhivya Kesavan
RMK College of Engineering and Technology, Tami Nadu, India

10.1 Healthcare industry and its revolution:
10.2 Role of Distributed System in Health Care
10.3 Why Healthcare is the biggest target for cyber attackers?
10.4 Cyber-attacks in healthcare industries - an infographic
10.5 Most frequent attacks in health industries and remedial measures
10.6 Research trends in cybersecurity for the health care sector
10.7 Conclusion – Defending Healthcare sector from Cyberattacks

 

Chapter 11: Improving Cardiovascular Health by Deep learning

Shiva Tushir,
Panipat Institute of Engineering and Technology, Samalkha, Panipat, India

 

11.1 Introduction
11.2. Machine Learning
11.3 Next Generation Machine Learning
11.4 Applications of Artificial Intelligence for Cardiovascular Health
11.5 Future Scope
11.6 Challenges
11.7 Conclusion