Breath Analysis for Medical Applications

• Κύριοι συγγραφείς: Zhang, David (Συγγραφέας), Guo, Dongmin (Συγγραφέας), Yan, Ke (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2017.
• Θέματα: Computer science.; Health informatics.; Pattern recognition.; Computer Science.; Health Informatics.; Pattern Recognition.; Signal, Image and Speech Processing.

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 a...

Πίνακας περιεχομένων:

• 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.