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Produktbild: Breath Analysis for Medical Applications
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Breath Analysis for Medical Applications

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95,99 € UVP 109,99 €

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

03.07.2017

Abbildungen

XIII, 99 illus., 88 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen

Verlag

Springer Singapore

Seitenzahl

309

Maße (L/B/H)

24,1/16/2,4 cm

Gewicht

653 g

Auflage

1st edition 2017

Sprache

Englisch

ISBN

978-981-10-4321-5

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

03.07.2017

Abbildungen

XIII, 99 illus., 88 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen

Verlag

Springer Singapore

Seitenzahl

309

Maße (L/B/H)

24,1/16/2,4 cm

Gewicht

653 g

Auflage

1st edition 2017

Sprache

Englisch

ISBN

978-981-10-4321-5

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Breath Analysis for Medical Applications
  • PART I: Background

    Chapter 1: Introduction1.1 Background 1.2 Motivation of Breath Analysis 1.3 Relative Technologies 1.4 Outline of this BookREFERENCES

    Chapter 2: Literature Review2.1 Introduction 2.2 Development of Breath Analysis 2.3 Breath Analysis by GC 2.4 Breath Analysis by E-nose 2.5 SummaryREFERENCES

    PART II: Breath Acquisition Systems

    Chapter 3: A Novel Breath Acquisition System Design 3.1 Introduction 3.2 Breath Analysis 3.3 Description of the System  3.4 Experiments  3.5 Results and Discussion  3.6 SummaryREFERENCES

    Chapter 4: An LDA Based Sensor Selection Approach 4.1 Introduction 4.2 LDA based Approach: Definition and Algorithm 4.3 Sensor Selection  4.4 Comparison Experiment and Performance Analysis 4.5 SummaryREFERENCES

    Chapter 5: Sensor Evaluation in a Breath Acquisition System 5.1 Introduction 5.2 System Description 5.3 Sensor Evaluation Methods  5.4 Experiments and Discussion 5.5 SummaryREFERENCES

    PART III: Breath Signal Pre-Processing

    Chapter 6: Improving the Transfer Ability of Prediction Models 6.1 Introduction 6.2 Methods Design 6.3 Experimental Details  6.4 Results and Discussion 6.5 SummaryREFERENCES

    Chapter 7: Learning Classification and Regression Models for Breath Data Drift based on Transfer Samples 7.1 Introduction 7.2 Related Work 7.3 Transfer-Sample-Based Multitask Learning (TMTL)  7.4 Selection of Transfer Samples 7.5 Experiments 7.6 SummaryREFERENCES

    Chapter 8: A Transfer Learning Approach with Autoencoder for Correcting Instrumental Variation and Time-Varying Drift 8.1 Introduction 8.2 Related Work 8.3 Drift Correction Autoencoder (DCAE)  8.4 Selection of Transfer Samples 8.5 Experiments 8.6 SummaryREFERENCES

    Chapter 9: A New Drift Correction Algorithm by Maximum Independence Domain Adaptation 9.1 Introduction 9.2 Related work 9.3 Proposed Method 9.4 Experiments 9.5 SummaryREFERENCES

    PART IV: Feature Extraction and Classification

    Chapter 10: An Effective Feature Extraction Method for Breath Analysis 10.1 Introduction 10.2 Breath Analysis System and Breath Samples 10.3 Feature Extraction based on Curve-Fitting Models  10.4 Experiments and Analysis 10.5 SummaryREFERENCES

    Chapter 11: Feature Selection and Analysis on Correlated Breath Data 11.1 Introduction 11.2 SVM-RFE 11.3 Improved SVM-RFE with Correlation Bias Reduction  11.4 Datasets and Feature Extraction 11.5 Results and Discussion 11.6 SummaryREFERENCES

    Chapter 12: Breath Sample Identification by Sparse Representation-based Classification 12.1 Introduction 12.2 Sparse Representation Classification 12.3 Overall Procedure  12.4 Experiments and Results 12.5 SummaryREFERENCES

    PART V: Medical Applications

    Chapter 13: Monitor Blood Glucose Level via Sparse Representation Approach 13.1 Introduction 13.2 System Description and Breath Signal Acquisition 13.3 Sparse Representation Classification  13.4 Experiments and Results 13.5 SummaryREFERENCES

    Chapter 14: Diabetics Detection by Means of Breath Signal Analysis 14.1 Introduction 14.2 Breath Analysis System 14.3 Breath Sample Classification and Decision Making 14.4 Experiments  14.5 Results and Discussion  14.6 SummaryREFERENCES

    Chapter 15: A Breath Analysis System for Diabetes Screening and Blood Glucose Level Prediction 15.1 Introduction 15.2 System Description 15.3 System Optimization 15.4 Experiments with Simulated Samples  15.5 Experiments with Breath Samples 15.6 SummaryREFERENCES

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    Chapter 16: Book Review and Future Work 16.1 Book Recapitulation 16.2 Future Work