| Description |
1 online resource (xiii, 309 pages) : illustrations (some color) |
| Contents |
Preface; Contents; Background; 1 Introduction; 1.1 Background and Motivation; 1.1.1 Why Is Breath Analysis Used in Disease Diagnosis?; 1.1.2 Why Should Breath Analysis System Be Developed?; 1.1.3 Why Should Specific Algorithms Be Designed for Breath Analysis?; 1.2 Relative Technologies; 1.3 Outline of the Work; References; 2 Literature Review; 2.1 Introduction; 2.2 Development of Breath Analysis; 2.3 Breath Analysis by GC; 2.3.1 Lung Cancer; 2.3.2 Lipid Peroxidation; 2.3.3 Renal Diseases; 2.3.4 Liver Diseases; 2.3.5 Breast Cancer; 2.3.6 Diabetes; 2.3.7 Pulmonary Tuberculosis; 2.3.8 Summary |
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2.4 Breath Analysis by E-Nose; 2.5 Summary; References; Breath Acquisition Systems; 3 A Novel Breath Acquisition System Design; 3.1 Introduction; 3.2 Breath Analysis; 3.3 Description of the System; 3.3.1 Breath Gas Collecting; 3.3.2 Signal Sampling; 3.3.3 Data Analysis; 3.4 Experiments; 3.4.1 Evaluating Outcomes of Hemodialysis; 3.4.2 Distinguishing Between Subject Breath Samples; 3.5 Results and Discussion; 3.5.1 Results Evaluating Outcomes of Hemodialysis; 3.5.2 Results Distinguishing Between Subject Breath Samples; 3.6 Summary; References; 4 An LDA-Based Sensor Selection Approach |
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4.1 Introduction; 4.2 LDA-Based Approach: Definition and Algorithm; 4.2.1 Data Expression; 4.2.2 Find Out the Optimum Direction by LDA; 4.2.3 Difference Between Two Classes as the Linear Combination of Sensors; 4.2.4 Weight of Sensor; 4.2.5 Algorithm Conclusion; 4.3 Sensor Selection in Breath Analysis System; 4.3.1 Sensor Selection for Disease Diagnosis; 4.3.2 Evaluating the Medical Treatment; 4.4 Comparison Experiment and Performance Analysis; 4.4.1 Sensor Selection for Disease Diagnosis; 4.4.2 Evaluating the Medical Treatment; 4.5 Summary; References |
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5 Sensor Evaluation in a Breath Acquisition System; Abstract; 5.1 Introduction; 5.2 System Description; 5.2.1 Framework of the Device; 5.2.2 Sensor Array; 5.2.3 Sampling Procedure; 5.2.4 Data Analysis; 5.3 Sensor Evaluation Methods; 5.3.1 Cumulative Sensor Importance; 5.3.2 Average Accuracy Improvement; 5.3.3 Sensor Inter-relationship; 5.4 Experiments and Discussion; 5.4.1 Experiment Configuration; 5.4.2 Sensor Evaluation Results; 5.4.3 Discussion; 5.5 Summary; References; Breath Signal Pre-processing; 6 Improving the Transfer Ability of Prediction Models; 6.1 Introduction |
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6.2 Design of Methods; 6.2.1 Windowed Piecewise Direct Standardization (WPDS); 6.2.2 Standardization-Error-Based Model Improvement (SEMI); 6.3 Experimental Details; 6.3.1 E-nose Module; 6.3.2 Dataset; 6.3.3 Preprocessing and Feature Extraction; 6.3.4 Data Analysis Procedure; 6.4 Results and Discussion; 6.4.1 Standardization; 6.4.2 Prediction; 6.5 Summary; References; 7 Learning Classification and Regression Models Based on Transfer Samples; Abstract; 7.1 Introduction; 7.2 Related Work; 7.3 Transfer-Sample-Based Multitask Learning (TMTL); 7.3.1 Transfer-Sample-Based Coupled Task Learning (TCTL) |
| Summary |
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 |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed June 28, 2017) |
| Subject |
Diagnosis.
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Breath tests.
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Biochemical markers.
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Diagnosis
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Biomarkers
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diagnosis.
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HEALTH & FITNESS -- Diseases -- General.
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MEDICAL -- Clinical Medicine.
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MEDICAL -- Diseases.
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MEDICAL -- Evidence-Based Medicine.
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MEDICAL -- Internal Medicine.
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Biochemical markers
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Breath tests
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Diagnosis
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| Form |
Electronic book
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| Author |
Guo, Dongmin, author
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Yan, Ke, author
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| ISBN |
9789811043222 |
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9811043221 |
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