Signal Processing Techniques for Computational Health Informatics Book [PDF] Download

Download the fantastic book titled Signal Processing Techniques for Computational Health Informatics written by Md Atiqur Rahman Ahad, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Signal Processing Techniques for Computational Health Informatics", which was released on 07 October 2020. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Technology & Engineering genre.

Summary of Signal Processing Techniques for Computational Health Informatics by Md Atiqur Rahman Ahad PDF

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.


Detail About Signal Processing Techniques for Computational Health Informatics PDF

  • Author : Md Atiqur Rahman Ahad
  • Publisher : Springer Nature
  • Genre : Technology & Engineering
  • Total Pages : 347 pages
  • ISBN : 3030549321
  • PDF File Size : 49,5 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Signal Processing Techniques for Computational Health Informatics

Signal Processing Techniques for Computational Health Informatics
  • Publisher : Springer Nature
  • File Size : 27,9 Mb
  • Release Date : 07 October 2020
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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

Introduction to Computational Health Informatics

Introduction to Computational Health Informatics
  • Publisher : CRC Press
  • File Size : 47,6 Mb
  • Release Date : 08 January 2020
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This class-tested textbook is designed for a semester-long graduate or senior undergraduate course on Computational Health Informatics. The focus of the book is on computational techniques that are widely used

Computational Health Informatics for Biomedical Applications

Computational Health Informatics for Biomedical Applications
  • Publisher : CRC Press
  • File Size : 25,9 Mb
  • Release Date : 30 June 2023
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The recent explosion of technology in healthcare has rapidly changed the healthcare sector. Technologies such as artificial intelligence and machine learning along with the integration of the Internet of Medical

Signal Processing and Machine Learning for Biomedical Big Data

Signal Processing and Machine Learning for Biomedical Big Data
  • Publisher : CRC Press
  • File Size : 45,8 Mb
  • Release Date : 04 July 2018
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Within the healthcare domain, big data is defined as any ``high volume, high diversity biological, clinical, environmental, and lifestyle information collected from single individuals to large cohorts, in relation to

Signal Processing in Medicine and Biology

Signal Processing in Medicine and Biology
  • Publisher : Springer Nature
  • File Size : 26,6 Mb
  • Release Date : 16 March 2020
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This book covers emerging trends in signal processing research and biomedical engineering, exploring the ways in which signal processing plays a vital role in applications ranging from medical electronics to

Applied Smart Health Care Informatics

Applied Smart Health Care Informatics
  • Publisher : John Wiley & Sons
  • File Size : 40,9 Mb
  • Release Date : 23 February 2022
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Applied Smart Health Care Informatics Explores how intelligent systems offer new opportunities for optimizing the acquisition, storage, retrieval, and use of information in healthcare Applied Smart Health Care Informatics explores

Sensing Technology

Sensing Technology
  • Publisher : Springer Nature
  • File Size : 42,5 Mb
  • Release Date : 08 April 2023
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This book gathers the latest advances, innovations, and applications in the field of sensing technology, as presented by international researchers and engineers at the 15th International Conference on Sensing Technology (