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  • © 2021

Signal Processing Techniques for Computational Health Informatics

  • 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

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

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eBook USD 129.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-54932-9
  • Instant PDF download
  • Readable on all devices
  • Own it forever
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  • Tax calculation will be finalised during checkout
Softcover Book USD 169.99
Price excludes VAT (USA)
Hardcover Book USD 169.99
Price excludes VAT (USA)

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xx
  2. Origin and Dynamics of Biomedical Signals

    • K. M. Talha Nahiyan, A. S. M. Shamsul Arefin, Mamun Rabbani, Alejandro Lopez Valdes
    Pages 1-22
  3. Signal Artifacts and Techniques for Artifacts and Noise Removal

    • Md. Kafiul Islam, Amir Rastegarnia, Saeid Sanei
    Pages 23-79
  4. Complexity Analysis in Health Informatics

    • Mosabber Uddin Ahmed
    Pages 103-121
  5. Entropy Analysis in Health Informatics

    • Anne Humeau-Heurtier
    Pages 123-143
  6. Image Processing in Health Informatics

    • Allam Shehata, Mahmoud Salem, Md Atiqur Rahman Ahad
    Pages 145-170
  7. Artificial Intelligence, Machine Learning and Reasoning in Health Informatics—An Overview

    • Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum
    Pages 171-192
  8. Health Information Retrieval

    • Md Shajalal, Masaki Aono
    Pages 193-207
  9. Reconfigurable Computing and Hardware Acceleration in Health Informatics

    • Mehdi Hasan Chowdhury, Ray C. C. Cheung
    Pages 209-229
  10. Health Informatics: Challenges and Opportunities

    • Mehedi Hasan Raju, Mosabber Uddin Ahmed, Md Atiqur Rahman Ahad
    Pages 231-246
  11. Mental Health and Sensing

    • Abdul Kawsar Tushar, Muhammad Ashad Kabir, Syed Ishtiaque Ahmed
    Pages 247-260
  12. Artificial Intelligence, Machine Learning and Reasoning in Health Informatics—Case Studies

    • Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum
    Pages 261-291
  13. Risk Prediction with Machine Learning in Cesarean Section: Optimizing Healthcare Operational Decisions

    • Shelia Rahman, Md. Imran Khan, Md. Shahriare Satu, Mohammad Zoynul Abedin
    Pages 293-314
  14. Automatic Epileptic Seizures Detection and EEG Signals Classification Based on Multi-domain Feature Extraction and Multiscale Entropy Analysis

    • Md. Abu Sayem, Md. Sohel Rana Sarker, Md Atiqur Rahman Ahad, Mosabber Uddin Ahmed
    Pages 315-334

About this book

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

  • Department of Electrical and Electronic Engineering, University of Dhaka, Dhaka, Bangladesh

    Md Atiqur Rahman Ahad, Mosabber Uddin Ahmed

Bibliographic Information

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-54932-9
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 169.99
Price excludes VAT (USA)
Hardcover Book USD 169.99
Price excludes VAT (USA)