Breath Analysis for Medical Applications (Hardcover, 1st ed. 2017)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	July 2017
First published:	2017
Authors:	David Zhang • Dongmin Guo • Ke Yan
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	309
Edition:	1st ed. 2017
ISBN-13:	978-981-10-4321-5
Categories:	Books > Computing & IT > Applications of computing > Pattern recognition Books > Computing & IT > Social & legal aspects of computing > Health & safety aspects of computing Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	981-10-4321-3
Barcode:	9789811043215

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