Breath Analysis for Medical Applications
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Beschreibung
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.
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.
The first systematic and comprehensive book on breath analysis and its medical applications Covers all aspects of breath signal processing, including acquisition, preprocessing, classification, and typical applications Provides an interdisciplinary reference for researchers and professionals in computer science and medical research Includes supplementary material: sn.pub/extras
Autor*in
David Zhang
Themen in »Breath Analysis for Medical Applications«
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