Breath Analysis for Medical Applications

Part I. Background

1. Introduction
David Zhang, Dongmin Guo, Ke Yan

2. Literature Review
David Zhang, Dongmin Guo, Ke Yan

Part II. Breath Acquisition Systems

3. A Novel Breath Acquisition System Design
David Zhang, Dongmin Guo, Ke Yan

4. An LDA-Based Sensor Selection Approach
David Zhang, Dongmin Guo, Ke Yan

5. Sensor Evaluation in a Breath Acquisition System
David Zhang, Dongmin Guo, Ke Yan

Part III. Breath Signal Pre-processing

6. Improving the Transfer Ability of Prediction Models
David Zhang, Dongmin Guo, Ke Yan

7. Learning Classification and Regression Models Based on Transfer Samples
David Zhang, Dongmin Guo, Ke Yan

8. A Transfer Learning Approach for Correcting Instrumental Variation and Time-Varying Drift
David Zhang, Dongmin Guo, Ke Yan

9. Drift Correction Using Maximum Independence Domain Adaptation
David Zhang, Dongmin Guo, Ke Yan

Part IV. Feature Extraction and Classification

10. Feature Selection and Analysis on Correlated Breath Data
David Zhang, Dongmin Guo, Ke Yan

11. Breath Sample Identification by Sparse Representation-Based Classification
David Zhang, Dongmin Guo, Ke Yan

12. Monitor Blood Glucose Levels via Sparse Representation Approach
David Zhang, Dongmin Guo, Ke Yan

Part V. Medical Applications

13. Breath Signal Analysis for Diabetics
David Zhang, Dongmin Guo, Ke Yan

14. A Breath Analysis System for Diabetes Screening and Blood Glucose Level Prediction
David Zhang, Dongmin Guo, Ke Yan

15. A Novel Medical E-Nose Signal Analysis System
David Zhang, Dongmin Guo, Ke Yan

16. Book Review and Future Work
David Zhang, Dongmin Guo, Ke Yan

Avainsanat: Computer Science, Health Informatics, Pattern Recognition, Signal, Image and Speech Processing