1st Edition

Smart Distributed Embedded Systems for Healthcare Applications

    198 Pages 48 Color & 13 B/W Illustrations
    by CRC Press

    198 Pages 48 Color & 13 B/W Illustrations
    by CRC Press

    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.

    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

    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

    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



    Preeti Nagrath, Joel J. P. C. Rodrigues