Embedded Systems for Biomedical Applications
eBook - ePub

Embedded Systems for Biomedical Applications

  1. 360 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Embedded Systems for Biomedical Applications

About this book

This book is an essential guide to the constantly changing environment of embedded systems in healthcare in a world where the convergence of technology and healthcare is becoming increasingly important. It further explains different scenarios corresponding to the latest technologies in the healthcare system for early diagnosis, enhanced treatment, and cure of diseases, including remote patient monitoring, cardiac monitoring, and deep learning for remediation.

Features:

• Emphasizes how embedded systems contribute to clinical care by facilitating personalized treatment and informed decision-making for healthcare professionals.

• Highlights the role of embedded systems in tracking treatment progress, enabling healthcare professionals to monitor patient responses and adjust treatment plans accordingly.

• Explores the application of embedded systems in remote patient monitoring, allowing for continuous health monitoring outside traditional healthcare settings.

• Presents the integration of deep learning and telecommunication technology with embedded systems, optimizing their efficiency and utilization in biomedical applications.

• Offers insights into future prospects for advancing biomedical applications through embedded systems, providing a roadmap for further innovation and development in the field.

This reference work is useful for scholars and professionals interested in the applications and optimization of emerging smart technologies in the field of healthcare.

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Yes, you can access Embedded Systems for Biomedical Applications by Rishabha Malviya,Mukesh Roy,Selcan Karakuş in PDF and/or ePUB format, as well as other popular books in Computer Science & Project Management. 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. Series Page
  4. Title Page
  5. Copyright Page
  6. Contents
  7. Editors
  8. Contributors
  9. Foreword
  10. Preface
  11. 1 Introduction to Embedded Systems in Healthcare: Operational Environments in Healthcare Settings
  12. 2 Embedded Systems in the Medical Field: Pros and Cons
  13. 3 Automation of Medical Devices with Embedded Systems
  14. 4 Embedded Systems in Developing Imaging Devices
  15. 5 Deep Learning of Telecommunication Technology for the Efficient Utilization of Embedded Systems
  16. 6 Role of Embedded Systems in Diagnosis and Decision-Making for Better Treatment
  17. 7 Enhancing Remote Healthcare: Integration of ATOM ECG with eSanjeevani
  18. 8 Artificial Intelligence in Embedded Systems for Biomedical Applications
  19. 9 Embedded Systems in Metabolic Bariatric Surgery: From Telemonitoring to Deep Learning Applications
  20. 10 Integration of Machine Learning Techniques with Multi-Criteria Decision-Making for a Better Treatment
  21. 11 Embedded Systems in Developing Advanced Strategies in Healthcare Management
  22. 12 Human Health Status Detection from the Tongue Image Using Embedded Image Processing
  23. Index