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研究生： 黃翊華
Huang, I-Hua
論文名稱： 基於四肢 PPG 與 ECG 分析之 AI 強化周邊動脈疾病評估系統
Development of an AI-Enhanced PAD Evaluation System Utilizing Limb PPG and ECG Analysis
指導教授： 杜翌群
Du, Yi-Chun
學位類別： 碩士
Master
系所名稱： 工學院 - 生物醫學工程學系
Department of BioMedical Engineering
論文出版年： 2025
畢業學年度： 113
語文別： 英文
論文頁數： 93
中文關鍵詞： 周邊動脈疾病 、踝肱指數 、脈波傳導時間 、卷積神經網路
外文關鍵詞： Peripheral Artery Disease (PAD), Ankle-Brachial Index (ABI), Pulse Transit Time (PTT), Very Deep Convolutional networks (VGG-16)
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    • 摘要 2 Abstract 3 致謝4 Table of Contents 5 List of Figures 8 Chapter1 Introduction 12 1.1 Preface 12 1.2 Background 13 1.2.1 Peripheral Arterial Diseases, PAD 13 1.2.2 Current Diagnosis Method 14 1.2.3 Clinical unmet need 16 1.3 Research motivation and purpose 17 Chapter2 Literature Review 19 2.1 The influence of Peripheral Artery Disease 19 2.2 Risk factors and complications of PAD 20 2.2.1 Hypertension as a Risk Factor for PAD 20 2.2.2 Impact of Diabetes Mellitus on PAD and Progression 20 2.2.3 Association Between of Chronic Kidney Disease and PAD 21 2.2.4 Clinical Implications of Polyvascular Disease in PAD 22 2.3 PPG and Vascular Disease 22 2.3.1 PPG morphology features 24 2.3.2 Arterial Pulse Wave Propagation Features 25 2.4 Related studies for PAD detection 25 2.5 Applying AI to PPG Signal Analysis 30 Chapter3 Material and Methods 31 3.1 System architecture 31 3.2 Measurement Device 32 3.2.1 Hardware Circuit Design 32 (1) ECG Circuit Design 32 (2) PPG Circuit Design 43 (3) Power Supply Module 47 3.2.2 Sensor Module and Mechanical Integration 48 3.2.3 Synchronous collection user interference 49 3.3 Simultaneous Signal Selection Model (SSS-Model) 49 3.3.1 Short-time Fourier Transform (STFT) 50 3.3.2 Labeling and marking architecture 54 3.3.3 SSS-Model architecture 55 3.4 ECG and PPG Signal Analysis 60 Chapter4 Experimental Design and Result 61 4.1 Hardware Implementation and Testing Results 61 4.1.1 PCB Module Fabrication and Device Assembly 61 4.1.2 PCB Development and Debugging Process 62 4.1.3 Signal Integrity and Output Verification-ECG 64 (1) Functional Verification Using Signal Generator 64 (2) Actual signal acquisition from human subject 68 4.1.4 Signal Integrity and Output Verification-PPG 69 (1) Functional Verification Using Signal Generator 69 (2) Actual signal acquisition from human subject 70 4.2 Experimental Setup 71 4.2.1 Clinical trial Participant Recruitment 71 4.3 SSS-Model Performance Evaluation 72 4.3.1 Training Procedure 72 4.3.2 Effect of STFT Overlap Ratio on Model Performance 73 4.3.3 Cross-validation and Impact of Training Data Quantity on Model Performance 74 4.3.4 Best Model Evaluation and Results 76 4.3.5 Training Dynamics and Model Stability 78 4.3.6 SSS-Model Inference Result 79 4.4 Singal Analysis Results 80 Chapter5 Discussion 83 Chapter6 Conclusion and Future Work 85 6.1 Conclusion 85 6.2 Limitation and Future Work 86 References 87

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