Breath Analysis for Medical Applications

PART I: Background
Chapter 1: Introduction1.1Background1.2Motivation of Breath Analysis1.3Relative Technologies1.4Outline of this BookREFERENCES
Chapter 2: Literature Review2.1Introduction2.2Development of Breath Analysis2.3Breath Analysis by GC2.4Breath Analysis by E-nose2.5SummaryREFERENCES
PART II: Breath Acquisition Systems
Chapter 3: A Novel Breath Acquisition System Design3.1Introduction3.2Breath Analysis3.3Description of the System 3.4Experiments 3.5Results and Discussion 3.6SummaryREFERENCES
Chapter 4: An LDA Based Sensor Selection Approach4.1Introduction4.2LDA based Approach: Definition and Algorithm4.3Sensor Selection 4.4Comparison Experiment and Performance Analysis4.5SummaryREFERENCES
Chapter 5: Sensor Evaluation in a Breath Acquisition System5.1Introduction5.2System Description5.3Sensor Evaluation Methods 5.4Experiments and Discussion5.5SummaryREFERENCES
PART III: Breath Signal Pre-Processing
Chapter 6: Improving the Transfer Ability of Prediction Models6.1Introduction6.2Methods Design6.3Experimental Details 6.4Results and Discussion6.5SummaryREFERENCES
Chapter 7: Learning Classification and Regression Models for Breath Data Drift based on Transfer Samples7.1Introduction7.2Related Work7.3Transfer-Sample-Based Multitask Learning (TMTL) 7.4Selection of Transfer Samples7.5Experiments7.6SummaryREFERENCES
Chapter 8: A Transfer Learning Approach with Autoencoder for Correcting Instrumental Variation and Time-Varying Drift8.1Introduction8.2Related Work8.3Drift Correction Autoencoder (DCAE) 8.4Selection of Transfer Samples8.5Experiments8.6SummaryREFERENCES
Chapter 9: A New Drift Correction Algorithm by Maximum Independence Domain Adaptation9.1Introduction9.2Related work9.3Proposed Method9.4Experiments9.5SummaryREFERENCES
PART IV: Feature Extraction and Classification
Chapter 10: An Effective Feature Extraction Method for Breath Analysis10.1Introduction10.2Breath Analysis System and Breath Samples10.3Feature

David Zhang graduated in Computer Science from Peking University. He received his MSc in 1982 and his PhD in 1985 in Computer Science from the Harbin Institute of Technology (HIT), respectively. From 1986 to 1988 he was a Postdoctoral Fellow at Tsinghua University and then an Associate Professor at the Academia Sinica, Beijing. In 1994 he received his second PhD in Electrical and Computer Engineering from the University of Waterloo, Ontario, Canada. He is a Chair Professor since 2005 at the Hong Kong Polytechnic University where he is the Founding Director of the Biometrics Research Centre (UGC/CRC) supported by the Hong Kong SAR Government in 1998. He is Founder and Editor-in-Chief, International Journal of Image and Graphics (IJIG); Founder and Series Editor, Springer International Series on Biometrics (KISB); Organizer, the 1st International Conference on Biometrics Authentication (ICBA); Associate Editor of more than ten international journals including IEEE Transactions and so on. He was selected as a Highly Cited Researcher in Engineering by Thomson Reuters in 2014, 2015 and 2016, respectively. Professor Zhang is a Croucher Senior Research Fellow, Distinguished Speaker of the IEEE Computer Society, and a Fellow of both IEEE and IAPR.

Dongmin Guo received her B.S. and M.S. degrees at School of Automation, Northwestern Polytechnical University Xi'an, China in 2003 and 2006, respectively and received her Ph.D. degree at the Hong Kong Polytechnic University, Hong Kong, in 2011. She is currently working as a research associate in Radiology Department, Wake Forest University Health Sciences. Her research interests include bioinformatics and machine learning.

Ke Yan received his B.S. and Ph.D. degrees both from the Department of Electronic Engineering, Tsinghua University, Beijing, China. He was the winner of the 2016 Tsinghua University Excellent Doctoral Dissertation Award. He is currently a postdoctoral fellow in the Lab