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系統識別號 U0026-1608201717390700
論文名稱(中文) 應用EMD自身呼吸消除技術以提升混合FMCW-CW雷達架構之心跳生理訊號準確度研究
論文名稱(英文) Intrinsic Respiration Calibration Technique Based on EMD to Enhance Accuracy of Heartbeat Signal Contrast in a Hybrid FMCW-CW Radar System
校院名稱 成功大學
系所名稱(中) 電機工程學系
系所名稱(英) Department of Electrical Engineering
學年度 105
學期 2
出版年 106
研究生(中文) 吳東霖
研究生(英文) Tung-Lin Wu
學號 N26040240
學位類別 碩士
語文別 英文
論文頁數 84頁
口試委員 指導教授-楊慶隆
口試委員-莊惠如
口試委員-洪子聖
口試委員-許孟烈
中文關鍵字 頻率調變連續波雷達  連續波雷達  混合式  經驗模態分解  本質模態函數  心跳頻率  呼吸頻率  生理訊號  訊雜比 
英文關鍵字 frequency modulated continuous wave (FMCW)  continuous wave (CW)  hybrid, empirical mode decomposition (EMD)  intrinsic mode function (IMF)  heart rate (HR)  respiratory rate (RR)  vital sign  signal-to-noise ratio (SNR) 
學科別分類
中文摘要 本篇論文採用經驗模態分解(EMD)法用以分析並加強5.8 GHz頻率調變連續波(FMCW)與連續波(CW)之混合式雷達系統架構所獲取之其心跳頻譜的訊雜比(SNR)。在頻域中,心跳頻率(HR)經常受呼吸頻率(RR)的高次諧波項影響,造成判讀上的誤差及錯誤。經驗模態分解出數個原始訊號之本質模態函數(IMF),含有主要能量的本質模態函數可被選出並相加重建代表此雷達訊號的呼吸時域訊號。經消除此重建之呼吸成分,FMCW與CW模式下之心跳訊號皆可被萃取出來。實驗設計分別以健康常人與金屬板為受測物,用以驗證此混合雷達架構可偵測生理資訊與絕對距離資訊。人體實驗結果顯示心跳訊號之SNR具體提升40.74 dB與24.1 dB於CW模式與FMCW模式。萃取出的心跳時域訊號之平均心率及頻譜分析結果能達到小於1 % 以下的錯誤率。本篇研究結果顯示此混合雷達架構結合EMD方法可同時偵測距離與生理資訊。
英文摘要 This thesis presents an empirical model decomposition (EMD)-based method to enhance SNR of heartbeat signal obtained from a hybrid FMCW-CW 5.8 GHz ISM band radar system. EMD can solve the problem of being hindered by higher order of respiration for finding spectra of heart rate (HR). Certain intrinsic mode functions (IMFs) based on content of power ratio would be combined to rebuild respiration signal in time domain. Heartbeat signal from both FMCW and CW modes were extracted after respiration signal calibration. Experiment scenarios including target of healthy human and metal plate were carried out to detect vital sign as well as absolute range information respectively. The measurement results suggested that the extracted heartbeat signal was significantly improved by 40.74 dB from CW mode and by 24.1 dB from FMCW mode in SNR. The spectra of extracted HR indicated accuracy of heartbeat signal within error < 1 %. These findings have implications for hybrid radar system locating and acquiring physiological information simultaneously.
論文目次 CONTENTS IV
LIST OF FIGURES VI
LIST OF TABLES X
Chapter 1 Introduction 1
1.1 Background 1
1.2 Literature Review 2
1.2.1 Recent Progress on Non-Contact Vital Sign Detection 2
1.2.2 Minimizing the Effect of Respiration 5
1.3 Research Objective and Motivation 6
1.4 Thesis Contribution 7
1.5 Thesis Organization 8
Chapter 2 Demodulation for Time and Spectral Analysis of Hybrid Radar System 9
2.1 Theory - Continuous Wave Radar Vital Sign Detection 9
2.2 Theory – Linear Frequency Modulated Continuous Wave Radar for Range Detection 12
2.3 Baseband Digital Signal Processing 14
2.3.1 Hybrid Signal Waveform Design and Separation 14
2.3.2 Complex Signal Demodulation 19
2.3.3 Beat Frequency Drift Analysis for Range Information 20
2.4 EMD Method Applied for Cardiopulmonary Signal Extraction 22
2.4.1 Empirical Mode Decomposition Method (EMD) 22
2.4.2 Material and Methods 23
2.4.3 Analysis Procedures 24
2.4.4 Heart Rate Variability (HRV) and Heart Rate (HR) analysis 29
Chapter 3 Hybrid FMCW-CW Radar System Design and Implementation 30
3.1 Radar System Power Link Budget 33
3.2 System Integration on Board Level 37
3.2.1 Voltage Controlled Oscillator 37
3.2.2 Power Splitter 39
3.2.3 Power Amplifier 40
3.2.4 Transmitted and Received Antenna 41
3.2.5 Low Noise Amplifier and Gain Block Amplifier 42
3.2.6 Quadrature Mixer 50
3.2.7 Data Acquisition Card 52
3.3 Experiment Setup 53
3.3.1 Metal Plate for Absolute Range Detection 53
3.3.2 Human Target for Vital Sign Detection 54
Chapter 4 Measurement Results and Discussion 57
4.1 Range Tracking 57
4.2 Heart Rate (HR) and Heart Rate Variability (HRV) from Radar Signal with Biopac ECG Reference 60
4.2.1 ECG Signal from Biopac System 60
4.2.2 Vital Sign from Hybrid Radar System 62
4.2.3 Discussion 73
Chapter 5 Conclusion and Future Work 79
5.1 Conclusion 79
5.2 Future Prospect 80
Reference 81

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