Breath Analysis for Medical Applications

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.