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THÔNG TIN TÀI LIỆU
Cấu trúc
CHAPTER 1. INTRODUCTION
1.1. Research motivation
1.2. Research objectives
1.3. Major contributions
1.4. Organization of the dissertation
CHAPTER 2. BACKGROUND
2.1. Physiology of the human cardiovascular system
2.2. Primer on nonlinear dynamic analysis
2.3. A graph-theory perspective of nonlinear dynamic systems
CHAPTER 3. RESEARCH METHODOLOGY
3.1. Modeling the cardiovascular system
3.2. Diagnosis of local cardiovascular disorders
3.3. Prediction of incipient disorder episodes
3.4. Prognostics approach for cardiovascular disorders
CHAPTER 4. LUMPED PARAMETER NONLINEAR CARDIOVASCULAR SYSTEM MODELING FOR POC PERSONALIZED SIGNAL GENRATION
4.1. Introduction
4.2. Background and literature review
4.3. Research approach
4.4. Implementation details and results
4.5. Conclusions
CHAPTER 5. A RANDOM THEORETIC APPROACH FOR DISORDER DIAGNOSTIC AND LOCALIZATION
5.1. Introduction
5.2. Background and literature review
5.3. Research approach
5.4 Implementation details and results
5.5. Discussion
5.6. Conclusions
CHAPTER 6. DIRICHLET PROCESS BASED MIXTURE GAUSSION PROCESS MODELS FOR PREDICTION OF DISORDER EVOLUTION
6.1. Introduction
6.2. Background and literature review
6.3. Resaerch approach
6.4. Implementation details and results
6.5. Conclusions
CHAPTER 7.NONPARAMETRIC MODELING APPROACH FOR PERSONALIZED PROGNOSIS OF CARDIORESPIRA TORY DISORDERS
7.1. Introduction
7.2. Background and literature review
7.3. Research approach
7.4. Implementation details and results
7.5. Conclusions
CHAPTER 8. CONCLUSIONS AND FUTURE WORK
8.1. Conclusions
8.2. Future work
APPENDIX
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Ngày đăng: 22/01/2021, 15:12
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