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국내공공정책정보
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논문명/저자명
Methodology for hypertension diagnosis from PPG only using PCA for preventive healthcare = 예방적 건강관리를 위한 PCA 기반 PPG 신호로부터의 고혈압 진단 방법론 / Byunghak Kong 인기도
발행사항
광주 : 광주과학기술원, 2016.2
청구기호
TM 621.382 -16-210
형태사항
viii, 33 p. ; 30 cm
자료실
전자자료
제어번호
KDMT1201610985
주기사항
학위논문(석사) -- 광주과학기술원, School of Information and Communications, 2016.2. 지도교수: KiSeon Kim
원문

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Title Page

Abstract

국문요약

Contents

Chapter 1. Introduction 13

1.1. Background 13

1.2. Measurement Methods of Blood Pressure 14

1.2.1. Conventional Measurement Methods of Blood Pressure 14

1.2.2. Measurement Methods of Blood Pressure using Photoplethysmography (PPG) 15

1.3. Objectives and Thesis Organization 19

1.3.1. Objectives 19

1.3.2. Organization of Thesis 20

Chapter 2. Approaches and Methodology 21

2.1. Approach 1 - Designing Hypertension Diagnosis using PPG Signal 21

2.2. Approach 2 - Finding Principal Feature of PPG Signal for Classifying Blood Pressure Condition by Applying PCA 22

2.3. Approach 3 - Verifying the Applicability of the Proposed Method in Elderly 25

2.4. A Novel Methodology for Hypertension Diagnosis 30

2.4.1. Data Acquisition (MIMIC II database) 30

2.4.2. Feature Extraction & Classification 31

Chapter 3. Performance Evaluation 35

3.1. Performance Comparison among PCA-based Features - Eigenvalue and Eigenvector 35

3.2. Performance Comparison between PCA-based Features and Other Features 37

3.3. Analysis of Results with PPG Waveform and Spectrum 38

Chapter 4. Conclusions and Future works 41

4.1. Conclusions 41

4.2. Future Works 42

References 43

Curriculum Vitae 46

Table 2.1. Age and health condition of subjects used in related works. 27

Table 2.2. Correlation coefficient ST, DT and T1 with SBP and DBP. 29

Table 3.1. Criteria of hypertension and quantity about data used in this thesis 36

Table 3.2. The performance of accuracy for classifying blood pressure condition using... 36

Table 3.3. The performance of accuracy for classifying blood pressure condition using... 38

Figure 1.1. The definition of the pulse transit time (PTT). 16

Figure 1.2. The framework for estimation of blood pressure based on PPG signal only. 17

Figure 1.3. Definition of proposed PPG features for estimating blood pressure. 18

Figure 2.1. The comparison between frameworks of previous works and proposed ap-... 22

Figure 2.2. 10 Features for estimating blood pressure and its principal points. 23

Figure 2.3. Comparison among PPG waveforms of three aged subjects that have almost... 24

Figure 2.4. Eight features used for the performance comparison 26

Figure 2.5. The mobility rate of disease about hypertension of adults from 2009 to 2016... 27

Figure 2.6. Scatter plots of between three features and blood pressure [SBP and DBP]. 29

Figure 2.7. The procedure of data acquisition and organization. 31

Figure 2.8. The procedure of signal processing and classification by using PCA and... 34

Figure 3.1. Graph of one cycle PPG signal in time and frequency domain. 39

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