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Breath Analysis for Medical Applications by David Zhang (English) Hardcover Book

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
ISBN-13
9789811043215
Book Title
Breath Analysis for Medical Applications
ISBN
9789811043215
Subject Area
Computers, Technology & Engineering, Science, Medical
Publication Name
Breath Analysis for Medical Applications
Item Length
9.3 in
Publisher
Springer
Subject
Signals & Signal Processing, Life Sciences / Biochemistry, Physiology, Computer Vision & Pattern Recognition
Publication Year
2017
Type
Textbook
Format
Hardcover
Language
English
Author
Dongmin Guo, David Zhang, Ke Yan
Item Width
6.1 in
Item Weight
214.9 Oz
Number of Pages
Xiii, 309 Pages

About this product

Product Information

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.

Product Identifiers

Publisher
Springer
ISBN-10
9811043213
ISBN-13
9789811043215
eBay Product ID (ePID)
234329388

Product Key Features

Author
Dongmin Guo, David Zhang, Ke Yan
Publication Name
Breath Analysis for Medical Applications
Format
Hardcover
Language
English
Subject
Signals & Signal Processing, Life Sciences / Biochemistry, Physiology, Computer Vision & Pattern Recognition
Publication Year
2017
Type
Textbook
Subject Area
Computers, Technology & Engineering, Science, Medical
Number of Pages
Xiii, 309 Pages

Dimensions

Item Length
9.3 in
Item Width
6.1 in
Item Weight
214.9 Oz

Additional Product Features

Number of Volumes
1 Vol.
Lc Classification Number
R858-859.7
Table of Content
1. Introduction.- 2. Literature Review.- 3. A Novel Breath Acquisition System Design.- 4. An LDA Based Sensor Selection Approach.- 5. Sensor Evaluation in a Breath Acquisition System.- 6. Improving the Transfer Ability of Prediction Models.- 7. Learning Classification and Regression Models for Breath Data with Drift based on Transfer Samples.- 8. A Transfer Learning Approach with Autoencoder for Correcting Instrumental Variation and Time-Varying Drift.- 9. Drift Correction using Maximum Independence Domain Adaptation.- 10. Feature Selection and Analysis on Correlated Breath Data.- 11. Breath Sample Identification by Sparse Representation-based Classification.- 12. Monitor Blood Glucose Levels via Sparse Representation Approach.- 13. Diabetics by Means of Breath Signal Analysis.- 14. A Breath Analysis System for Diabetes Screening and Blood Glucose Level Prediction. 15. A Novel Medical E-Nose Signal Analysis System.- 16. Book Review and Future Work.
Copyright Date
2017
Dewey Decimal
616.075
Dewey Edition
23
Illustrated
Yes

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