000			a
999			_c30597 _d30597
008			220106b xxu||||| |||| 00| 0 eng d
020			_a9789811351068
082			_a616.075 _bZHA
100			_aZhang, David
245			_aBreath analysis for medical applications
260			_bSpringer, _c2017 _aSingapore :
300			_axiii, 309 p. ; _bill. (some color), _c24 cm
365			_b129.99 _cEUR _d88.70
504			_aIncludes bibliographical references and index.
520			_aThis 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.
650			_aDiagnosis
650			_aBreath tests
650			_aBiochemical markers
650			_aHealth Informatics
650			_aDiseases General
650			_aClinical Medicine
650			_aMedical Evidence-Based Medicine
650			_aMedical Diseases
650			_aOptical pattern recognition
700			_aGuo, Dongmin
942			_2ddc _cBK