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  • © 2018

Computational Pulse Signal Analysis

  • The first systematic and comprehensive book on computational pulse signal analysis and its medical applications

  • Covers all aspects of pulse signal analysis, including acquisition, preprocessing, feature extraction, classification and typical applications

  • Provides an interdisciplinary reference for researchers and professionals in computer science and medical research

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Table of contents (17 chapters)

  1. Front Matter

    Pages i-xiv
  2. Background

    1. Front Matter

      Pages 1-1
    2. Introduction: Computational Pulse Diagnosis

      • David Zhang, Wangmeng Zuo, Peng Wang
      Pages 3-10
  3. Pulse Signal Acquisition

    1. Front Matter

      Pages 11-11
    2. Compound Pressure Signal Acquisition

      • David Zhang, Wangmeng Zuo, Peng Wang
      Pages 13-34
    3. Pulse Signal Acquisition Using Multi-sensors

      • David Zhang, Wangmeng Zuo, Peng Wang
      Pages 35-62
  4. Pulse Signal Preprocessing

    1. Front Matter

      Pages 63-63
    2. Detection of Saturation and Artifact

      • David Zhang, Wangmeng Zuo, Peng Wang
      Pages 91-107
    3. Optimized Preprocessing Framework for Wrist Pulse Analysis

      • David Zhang, Wangmeng Zuo, Peng Wang
      Pages 109-132
  5. Pulse Signal Feature Extraction

    1. Front Matter

      Pages 133-133
    2. Arrhythmic Pulse Detection

      • David Zhang, Wangmeng Zuo, Peng Wang
      Pages 135-155
    3. Spatial and Spectrum Feature Extraction

      • David Zhang, Wangmeng Zuo, Peng Wang
      Pages 157-167
    4. Characterization of Inter-Cycle Variations for Wrist Pulse Diagnosis

      • David Zhang, Wangmeng Zuo, Peng Wang
      Pages 191-213
  6. Pulse Analysis and Diagnosis

    1. Front Matter

      Pages 215-215
    2. Edit Distance for Pulse Diagnosis

      • David Zhang, Wangmeng Zuo, Peng Wang
      Pages 217-230
    3. Modified Gaussian Models and Fuzzy C-Means

      • David Zhang, Wangmeng Zuo, Peng Wang
      Pages 231-246
    4. Modified Auto-regressive Models

      • David Zhang, Wangmeng Zuo, Peng Wang
      Pages 247-259

About this book

This book describes the latest advances in pulse signal analysis and their applications in classification and diagnosis. First, it provides a comprehensive introduction to useful techniques for pulse signal acquisition based on different kinds of pulse sensors together with the optimized acquisition scheme. It then presents a number of preprocessing and feature extraction methods, as well as case studies of the classification methods used. Lastly it discusses some promising directions for the future study and clinical applications of pulse signal analysis. The book is a valuable resource for researchers, professionals and postgraduate students working in the field of pulse diagnosis, signal processing, pattern recognition and biometrics. It is also useful for those involved in interdisciplinary research.



Authors and Affiliations

  • School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China

    David Zhang

  • Harbin Institute of Technology, Harbin, China

    Wangmeng Zuo

  • Northeast Agricultural University, Harbin, China

    Peng Wang

About the authors

​David Zhang graduated in Computer Science from Peking University. He received his MSc and PhD degrees in Computer Science and Engineering from the Harbin Institute of Technology (HIT) in 1982 and 1985 respectively. From 1986 to 1988 he was a postdoctoral fellow at Tsinghua University and then an associate professor at the Institute of Automation, Chinese Academy of Sciences, Beijing. In 1994 he received his second PhD degree in Electrical and Computer Engineering from the University of Waterloo, Ontario, Canada. Currently, he is a chair professor at the Hong Kong Polytechnic University, where he is the founding director of the Biometrics Research Centre (UGC/CRC), which has been supported by the Hong Kong SAR Government since 1998. He also serves as visiting chair professor at Tsinghua University and HIT, and adjunct professor at Shanghai Jiao Tong University, Peking University, National University of Defense Technology, and University of Waterloo. He has published more than 15 books and 400 international journal papers. He was listed as a highly cited researcher in engineering by Thomson Reuters in 2014, 2015 and 2016. Prof. Zhang is a Croucher senior research fellow, distinguished speaker of the IEEE computer society, and a fellow of both the IEEE and the IAPR.

Wangmeng Zuo is currently a professor at the School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China. His research interests include discriminative learning, deep learning, image modeling and low-level vision, and biometrics. Dr. Zuo has published more than 50 papers in leading academic journals and at top-tier conferences. Dr. Zuo is an associate editor of the IET Biometrics, guest editor of Neurocomputing, Pattern Recognition, IEEE Transactions on Circuits and Systems for Video Technology, and IEEE Transactions on Neural Networks and Learning Systems. He has co-authored a book on medical biometrics and another book on biometrics. He is a senior member of IEEE.


Peng Wang is currently a lecturer at the School of Science, Northeast Agricultural University, Harbin, China. He received his B.S. degree in Information and Computing Science from Harbin Normal University, Harbin, China, in 2007, and the M.S. degree in Computer Science from the Harbin Institute of Technology, Harbin in 2009. From September 2009 to December 2009, he was a research assistant at the Department of Computing, Hong Kong Polytechnic University. His research interests include computerized medical diagnosis, pattern recognition, machine learning, and biometrics. Dr. Wang has published more than 20 papers in leading academic journals and conferences. 

Bibliographic Information

  • Book Title: Computational Pulse Signal Analysis

  • Authors: David Zhang, Wangmeng Zuo, Peng Wang

  • DOI: https://doi.org/10.1007/978-981-10-4044-3

  • Publisher: Springer Singapore

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Singapore Pte Ltd. 2018

  • Hardcover ISBN: 978-981-10-4043-6Published: 06 October 2018

  • Softcover ISBN: 978-981-13-3835-9Published: 15 January 2019

  • eBook ISBN: 978-981-10-4044-3Published: 14 September 2018

  • Edition Number: 1

  • Number of Pages: XIV, 328

  • Number of Illustrations: 44 b/w illustrations, 110 illustrations in colour

  • Topics: Pattern Recognition, Signal, Image and Speech Processing, Health Informatics

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access