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基于混合连续波的心率和呼吸率检测方法研究

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目录

声明

Chapter 1 Introduction

1.1 Background and Research Significance

1.2 Overseas and Domestic Research Status

1.2.1 Intrusive Monitoring System (IMS)

1.2.2 Non-Intrusive Monitoring System (NIMS)

1.3 Research content

1.4 Thesis structure

Chapter 2 Preliminaries

2.1 Distance measuring method based on acoustic signals

2.1.1 Time of Arrival (ToA)

2.1.2 Time Difference of Arrival (TDoA)

2.2 Microphone and Speaker on Smartphone

2.3 Radar Signal Processing

2.4 Acoustic signal feature extraction

2.4.1 Inverse Fast Fourier Transform

2.4.2 Windowing

2.4.3 Principal component analysis

2.5 Knowledge of sound signal processing

2.6 Chapter Summary

Chapter 3 Design of Heterogeneous Continuous Wave Signal

3.1 Introduction

3.2 CW signal and FMCW Signal

3.2.1 CW

3.2.2 FMCW

3.3 Heterogeneous Continuous Wave Signal (ULCW)

3.3.1 ULCW Signal

3.3.2 Acoustic signalAnalysis

3.4 Chapter Summary

Chapter 4 ULCW-based Vital Signal Detection System

4.1 System Overview

4.2 Signal Pre-processing

4.2.1 Signal denoising

4.2.2 Signal filtering

4.3 Feature Selection and Extraction

4.3.1 Feature Selection

4.3.2 Feature Extraction

4.4 Vital signs detection

4.4.1 Heart rate

4.4.2 Breathing rate

4.5 Simultaneous Multi-user monitoring

4.5 Chapter Summary

Chapter 5 Evaluation

5.1 Experimental setup

5.1.1 Hardware and Software

5.1.2 Participants and Scenarios

5.1.3 Data

5.2 Metrics and Baseline

5.2.1 Metrics

5.2.2 Baseline

5.3 Experiments and Results

5.3.1 Sensitivity of ULCW

5.3.2 Reliability of ULCW

5.3.3 Accuracy of ULCW

5.3.4 ECG, ACG and ULCW Comparison

5.4 Chapter Summary

Conclusions

参考文献

致谢

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著录项

  • 作者单位

    燕山大学;

  • 授予单位 燕山大学;
  • 学科 计算机科学与技术
  • 授予学位 硕士
  • 导师姓名 王林;
  • 年度 2020
  • 页码
  • 总页数
  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 TS2TP2;
  • 关键词

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