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© 2021

Signal Processing Techniques for Computational Health Informatics

  • Md Atiqur Rahman Ahad
  • Mosabber Uddin Ahmed

Benefits

  • Presents a comprehensive overview of the security and privacy challenges, opportunities, and future directions for computational health informatics in the big data age

  • Discusses the incorporation of recent techniques from the areas of artificial intelligence, deep learning, and Human-Computer Interaction

  • Covers a comprehensive and representative range of signal processing techniques used in biomedical applications

  • Provides a systematic analysis of state-of-the-art techniques

Book

Part of the Intelligent Systems Reference Library book series (ISRL, volume 192)

Table of contents

  1. Front Matter
    Pages i-xx
  2. K. M. Talha Nahiyan, A. S. M. Shamsul Arefin, Mamun Rabbani, Alejandro Lopez Valdes
    Pages 1-22
  3. Md. Kafiul Islam, Amir Rastegarnia, Saeid Sanei
    Pages 23-79
  4. Mosabber Uddin Ahmed
    Pages 103-121
  5. Anne Humeau-Heurtier
    Pages 123-143
  6. Allam Shehata, Mahmoud Salem, Md Atiqur Rahman Ahad
    Pages 145-170
  7. Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum
    Pages 171-192
  8. Md Shajalal, Masaki Aono
    Pages 193-207
  9. Mehdi Hasan Chowdhury, Ray C. C. Cheung
    Pages 209-229
  10. Mehedi Hasan Raju, Mosabber Uddin Ahmed, Md Atiqur Rahman Ahad
    Pages 231-246
  11. Abdul Kawsar Tushar, Muhammad Ashad Kabir, Syed Ishtiaque Ahmed
    Pages 247-260
  12. Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum
    Pages 261-291
  13. Shelia Rahman, Md. Imran Khan, Md. Shahriare Satu, Mohammad Zoynul Abedin
    Pages 293-314
  14. Md. Abu Sayem, Md. Sohel Rana Sarker, Md Atiqur Rahman Ahad, Mosabber Uddin Ahmed
    Pages 315-334

About this book

Introduction

This book focuses on signal processing techniques used in computational health informatics. As computational health informatics is the interdisciplinary study of the design, development, adoption and application of information and technology-based innovations, specifically, computational techniques that are relevant in health care, the book covers a comprehensive and representative range of signal processing techniques used in biomedical applications, including: bio-signal origin and dynamics, sensors used for data acquisition, artefact and noise removal techniques, feature extraction techniques in the time, frequency, time–frequency and complexity domain, and image processing techniques in different image modalities.

Moreover, it includes an extensive discussion of security and privacy challenges, opportunities and future directions for computational health informatics in the big data age, and addresses the incorporation of recent techniques from the areas of artificial intelligence, deep learning and human–computer interaction. The systematic analysis of the state-of-the-art techniques covered here helps to further our understanding of the physiological processes involved and expand our capabilities in medical diagnosis and prognosis.

In closing, the book, the first of its kind, blends state-of-the-art theory and practices of signal processing techniques in the health informatics domain with real-world case studies building on those theories. As a result, it can be used as a text for health informatics courses to provide medics with cutting-edge signal processing techniques, or to introduce health professionals who are already serving in this sector to some of the most exciting computational ideas that paved the way for the development of computational health informatics.


Keywords

Health Informatics Computational Health Informatics Biomedical Signal Signal Processing Frequency-domain Time-domain Complexity Issues Image Modalities IoT HCI Deep Learning Big Data

Editors and affiliations

  • Md Atiqur Rahman Ahad
    • 1
  • Mosabber Uddin Ahmed
    • 2
  1. 1.Department of Electrical and Electronic EngineeringUniversity of DhakaDhakaBangladesh
  2. 2.Department of Electrical and Electronic EngineeringUniversity of DhakaDhakaBangladesh

Bibliographic information