Signal Processing Techniques for Computational Health Informatics

✍ Scribed by Md Atiqur Rahman Ahad, Mosabber Uddin Ahmed

• Publisher: Springer International Publishing;Springer
• Year: 2021
• Tongue: English
• Leaves: 347
• Series: Intelligent Systems Reference Library 192
• Edition: 1st ed.
• Category: Library

✦ Synopsis

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 expandour 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 inthe 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 introducehealth 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.

✦ Table of Contents

Front Matter ....Pages i-xx
Origin and Dynamics of Biomedical Signals (K. M. Talha Nahiyan, A. S. M. Shamsul Arefin, Mamun Rabbani, Alejandro Lopez Valdes)....Pages 1-22
Signal Artifacts and Techniques for Artifacts and Noise Removal (Md. Kafiul Islam, Amir Rastegarnia, Saeid Sanei)....Pages 23-79
Time-Frequency Analysis in Health Informatics (Itaru Kaneko)....Pages 81-101
Complexity Analysis in Health Informatics (Mosabber Uddin Ahmed)....Pages 103-121
Entropy Analysis in Health Informatics (Anne Humeau-Heurtier)....Pages 123-143
Image Processing in Health Informatics (Allam Shehata, Mahmoud Salem, Md Atiqur Rahman Ahad)....Pages 145-170
Artificial Intelligence, Machine Learning and Reasoning in Health Informatics—An Overview (Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum)....Pages 171-192
Health Information Retrieval (Md Shajalal, Masaki Aono)....Pages 193-207
Reconfigurable Computing and Hardware Acceleration in Health Informatics (Mehdi Hasan Chowdhury, Ray C. C. Cheung)....Pages 209-229
Health Informatics: Challenges and Opportunities (Mehedi Hasan Raju, Mosabber Uddin Ahmed, Md Atiqur Rahman Ahad)....Pages 231-246
Mental Health and Sensing (Abdul Kawsar Tushar, Muhammad Ashad Kabir, Syed Ishtiaque Ahmed)....Pages 247-260
Artificial Intelligence, Machine Learning and Reasoning in Health Informatics—Case Studies (Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum)....Pages 261-291
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
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

✦ Subjects

Engineering; Computational Intelligence; Signal, Image and Speech Processing; Health Informatics