Opto-VLSI Devices and Circuits for Biomedical and Healthcare Applications
  1. 200 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

About this book

The text comprehensively discusses the latest Opto-VLSI devices and circuits useful for healthcare and biomedical applications. It further emphasizes the importance of smart technologies such as artificial intelligence, machine learning, and the internet of things for the biomedical and healthcare industries.



  • Discusses advanced concepts in the field of electro-optics devices for medical applications.


  • Presents optimization techniques including logical effort, particle swarm optimization and genetic algorithm to design Opto-VLSI devices and circuits.


  • Showcases the concepts of artificial intelligence and machine learning for smart medical devices and data auto-collection for distance treatment.


  • Covers advanced Opto-VLSI devices including a field-effect transistor and optical sensors, spintronic and photonic devices.


  • Highlights application of flexible electronics in health monitoring and artificial intelligence integration for better medical devices.

The text presents the advances in the fields of optics and VLSI and their applicability in diverse areas including biomedical engineering and the healthcare sector. It covers important topics such as FET biosensors, optical biosensors and advanced optical materials. It further showcases the significance of smart technologies such as artificial intelligence, machine learning and the internet of things for the biomedical and healthcare industries. It will serve as an ideal design book for senior undergraduate, graduate students, and academic researchers in the fields including electrical engineering, electronics and communication engineering, computer engineering and biomedical engineering.

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Yes, you can access Opto-VLSI Devices and Circuits for Biomedical and Healthcare Applications by Ankur Kumar, Sajal Agarwal, Vikrant Varshnay, Varun Mishra, Yogesh Kumar Verma, Suman Lata Tripathi, Ankur Kumar,Sajal Agarwal,Vikrant Varshnay,Varun Mishra,Yogesh Kumar Verma,Suman Lata Tripathi in PDF and/or ePUB format, as well as other popular books in Technologie et ingénierie & Ingénierie de l'électricité et des télécommunications. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half Title page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Notes on the Editors
  7. Contributors
  8. Abbreviations
  9. Chapter 1 Enhancement of Dynamic Range of Surface Plasmon Resonance (SPR) Biosensor Using High Refractive Index Prism: A Theoretical Approach
  10. Chapter 2 Introduction to Fiber Bragg Grating Sensors for Liquid Sensing Applications: Fiber Bragg Grating Sensors for Liquid Sensing
  11. Chapter 3 A Review of Multi-material, Multi-gate MOSFET Structures
  12. Chapter 4 A Study of TFET-based Biosensors with Dual Material Double Gate structure for High Sensitivity and Cost-effective Biomedical Applications
  13. Chapter 5 Investigation of Domino Buffer Circuit in Biomedical Applications
  14. Chapter 6 A Novel Digitally Controllable Variant of Extra-X Second Generation Current Conveyor and Its Filter Application Suitable for Biomedical Signal Processing
  15. Chapter 7 Study of Analog Filters Employing Current-Mode Active Elements Suitable for Biomedical Applications
  16. Chapter 8 VLSI Design and Optimization for Advanced Health Monitoring
  17. Chapter 9 Neural Interfacing and Monitoring by Integrated Circuit
  18. Chapter 10 Applications of Nanobiosensors for Biomedical and Healthcare Monitoring Systems: A Review and Prospective Study
  19. Chapter 11 An Overview of Recent Progress in the Field of Wearable Glucose Sensors for Diabetes Diagnosis
  20. Chapter 12 A Perspective View for Detection of COVID-19 Causative Virus (SARS-Cov-2) Using Dielectric Modulated Field Effect Transistors
  21. Chapter 13 Integration of Artificial Intelligence with Opto-VLSI for the Biomedical and Healthcare Industries
  22. Chapter 14 VLSI Computer Aided Design Using Machine Learning for Biomedical Applications
  23. Index