Computer Systems for Healthcare and Medicine
eBook - PDF

Computer Systems for Healthcare and Medicine

  1. 272 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Computer Systems for Healthcare and Medicine

About this book

The development of modern civilization leads us to solve new problems which did not exist before. The contemporary world faces a great challenge of aging societies, where increasing numbers of senior citizens require constant medical attention. Advanced technologies must be implemented to ensure the safety and well-being of elderly people, patients in hospitals, and disabled persons. These include both sophisticated data acquisition systems and data processing algorithms aimed at the constant and discreet monitoring of persons whilst raising alarm if immediate attention is required. Computer Systems for Healthcare and Medicine presents a novel look at the introduced problems, including proposed solutions in the form of automated data acquisition and processing systems, which were tested in various environments. Characteristic features include a wide range of sensors used to monitor the situation of the person, and accurate decision making algorithms, often based on the computational intelligence domain. Technical topics discussed in the book include the following applications for healthcare: >> Infrared sensors
>> MEMS
>> Ultra wideband radars
>> Deep learning
>> Decision trees
>> Artificial neural networks
>> Gabor filters
>> Decision support systems

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Yes, you can access Computer Systems for Healthcare and Medicine by Piotr Bilski, Francesca Guerriero in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Front Cover
  2. Half Title Page
  3. RIVER PUBLISHERS SERIES IN INFORMATION SCIENCE AND TECHNOLOGY
  4. Title Page- Computer Systems for Healthcare and Medicine
  5. Copyright Page
  6. Contents
  7. Preface
  8. Acknowledgements
  9. List of Contributors
  10. List of Figures
  11. List of Tables
  12. List of Abbreviations
  13. Chapter 1 - Ultra-Wide Band Radar Monitoring of Movements in Homes of Elderly and Disabled People: A HealthCare Perspective
  14. Chapter 2 - A System for Elderly Persons Behaviour Wireless Monitoring
  15. Chapter 3 - Polychromatic LED Device for Measuring the Critical Flicker Fusion Frequency
  16. Chapter 4 - EIGER Indoor UWB-Positioning System
  17. Chapter 5 - On Detection and Estimation of Breath Parameters Using Ultrawide Band Radar
  18. Chapter 6 - Gabor-Filter-based Longitudinal Strain Estimation fromTagged MRI
  19. Chapter 7 - A Decision Support System for Localisation and Inventory Management in Healthcare
  20. Chapter 8 - Deep Learning Classifier for Fall Detection Based on IR Distance Sensor Data
  21. Chapter 9 - Decision Trees Implementation in Monitoring of Elderly Persons Based on the Depth Sensors Data
  22. Chapter 10 - Recurrent Approximation in the Tasks of the Neural Network Synthesis for the Control of Process of Phototherapy
  23. Index
  24. About the Editors
  25. About the Authors
  26. Back Cover