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Breath Analysis for Medical Applications

  • David Zhang
  • Dongmin Guo
  • Ke Yan

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Background

    1. Front Matter
      Pages 1-1
    2. David Zhang, Dongmin Guo, Ke Yan
      Pages 3-10
    3. David Zhang, Dongmin Guo, Ke Yan
      Pages 11-28
  3. Breath Acquisition Systems

    1. Front Matter
      Pages 29-29
    2. David Zhang, Dongmin Guo, Ke Yan
      Pages 31-52
    3. David Zhang, Dongmin Guo, Ke Yan
      Pages 53-75
    4. David Zhang, Dongmin Guo, Ke Yan
      Pages 77-88
  4. Breath Signal Pre-processing

    1. Front Matter
      Pages 89-89
    2. David Zhang, Dongmin Guo, Ke Yan
      Pages 91-112
    3. David Zhang, Dongmin Guo, Ke Yan
      Pages 113-135
    4. David Zhang, Dongmin Guo, Ke Yan
      Pages 157-178
  5. Feature Extraction and Classification

    1. Front Matter
      Pages 179-179
    2. David Zhang, Dongmin Guo, Ke Yan
      Pages 181-206
    3. David Zhang, Dongmin Guo, Ke Yan
      Pages 229-237
  6. Medical Applications

    1. Front Matter
      Pages 239-239
    2. David Zhang, Dongmin Guo, Ke Yan
      Pages 241-258
    3. David Zhang, Dongmin Guo, Ke Yan
      Pages 281-299
    4. David Zhang, Dongmin Guo, Ke Yan
      Pages 301-306
  7. Back Matter
    Pages 307-309

About this book

Introduction

This book describes breath signal processing technologies and their applications in medical sample classification and diagnosis. First, it provides a comprehensive introduction to breath signal acquisition methods, based on different kinds of chemical sensors, together with the optimized selection and fusion acquisition scheme. It then presents preprocessing techniques, such as drift removing and feature extraction methods, and uses case studies to explore the classification methods. Lastly it discusses promising research directions and potential medical applications of computerized breath diagnosis. It is a valuable interdisciplinary resource for researchers, professionals and postgraduate students working in various fields, including breath diagnosis, signal processing, pattern recognition, and biometrics.

Keywords

Breath signal Diagnosis Signal Acquisition Sensor Selection and Fusion Signal Preprocessing Pattern Recognition Machine Learning Feature Extraction Drift Correction Medical Biometrics Autoencoder Learning Blood Glucose Level Prediction Diabetes Screening

Authors and affiliations

  • David Zhang
    • 1
  • Dongmin Guo
    • 2
  • Ke Yan
    • 3
  1. 1.Biometrics Research CentreThe Hong Kong Polytechnic UniversityHong KongChina
  2. 2.Wake Forest UniversityWinston-SalemUSA
  3. 3.National Institute of HealthBethesdaUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-10-4322-2
  • Copyright Information Springer Nature Singapore Pte Ltd. 2017
  • Publisher Name Springer, Singapore
  • eBook Packages Computer Science
  • Print ISBN 978-981-10-4321-5
  • Online ISBN 978-981-10-4322-2
  • Buy this book on publisher's site
Industry Sectors
Pharma
Biotechnology
Electronics