摘要非接触式生命体征检测系统相比穿戴式检测设备具有便捷、应用范围广和对患者无 负荷的优点。基于连续波多普勒生命探测雷达原理，设计了医用非接触式生命体征检测系 统，用于实现实时监测受试人体的呼吸和心率的功能。该系统由射频前端、模拟信号预处 理模块和 DSP 信号处理模块三部分组成。主要完成对模拟信号预处理模块和 DSP 信号处 理模块的研究和设计。模拟信号处理模块用于对接收到的射频前端信号进行预处理，完成 信号的放大、滤波以及电平抬升的功能。DSP 信号处理模块以 TMS320VC5509A 为核心， 搭建外围电路同时完成信号处理算法的设计。采用 FIR 数字低通滤波和 FFT 算法，用于 呼吸率的提取。对微弱的心跳信号，采用 LMS 自适应滤波算法，将其从呼吸和噪声中分 离。最后，进行硬件实物的制作并完成对整个系统的测试工作。79033
毕业论文关键词 生命探测 预处理 DSP LMS 自适应滤波
毕 业设计 说明书 外文摘 要
Title Design of Medical Noncontact Vital Sign Detection System
Abstract Noncontact vital sign detection system is convenient, comfortable and applied widely as compared to wearable detection equipment。 Medical noncontact vital sign detection system based on the principle of continuous wave Doppler radar for real-time monitoring of the body's breathing and heartbeat is designed in this paper。 The system is composed of three parts: the front end of the radar, the analog signal preprocessing module and the DSP signal processing module。 The research and design of analog signal preprocessing module and DSP signal processing module is completed in this paper。 First, Analog signal processing module is used for received radar front-end signal preprocessing, which has the function of signal amplification, filtering and electrical level rising。 Then, TMS320VC5509A DSP chip is selected to build DSP signal processing module and implement the design of signal processing algorithms。 In order to extract the respiration rate, FIR digital low-pass filter and FFT algorithm are used。 In addition, LMS adaptive filtering algorithm is used to separate the weak heartbeat signal from the respiratory signal。 Finally, the hardware circuits is made and the testing of the entire system is completed。
Keywords vital sign detection preprocessing DSP LMS adaptive filter
本科毕业设计说明书 第 I 页
目 次
1 引言 1
1。1 研究背景及意义 1
1。3 论文主要研究工作 3
2 医用非接触式生命体征检测系统方案设计 4
2。1 非接触式生命体征检测系统总体方案 4
2。2 射频前端体制的选择 4
2。3 多普勒生命探测工作原理 5
2。4 单通道和正交双通道接收机的选择 6
2。5 TMS32医用非接触式生命体征检测系统设计:http://www.youerw.com/tongxin/lunwen_91225.html