摘要非接触生命体征监护是在不接触人体的情况下对人的生理指标（呼吸和心跳等）进行监护。它拥有常规的接触式监护所不具备的优点。并且在军事医学和临床医学上都有很好的应用前景。
本文介绍了非接触式监护的系统框架，主要包括三个主要部分：信号的采集，信号的接收以及终端信号的处理。对每个主要部分的工作原理对了系统的分析。讨论了了采用正交接收机的原因——是为了避免空点的出现，并对其原理做了详细的介绍。另外本文重点介绍了matlab仿真部分，主要包括呼吸和心跳信号的建模，用LMS和RLS算法实现信号的分离，频率的提取。并对两种算法各自的特点做了一些比较。最后用PCA算法实现I、Q路正交信号的主成分提取及频率提取。64795
毕业论文关键词：非接触生命体征检测 正交接收机、信号分离、LMS、RLS、PCA
毕业设计说明书（论文）外文摘要
Title The Algorithmof RLS and LMS-based on non-contact monitoring of vital signs
Abstract Contactless life signs montior is a instrument that detect the heart and breathing rate of human body in contactless conditions. It has the advantages that the regular contact monitor do not hanve.it has a very good application prospects in military medicine and clinical medicine.
The article introduce the system framework of the contactless life signs monitor ,introducing three main parts .they are signal acquisition ,signal reception and signal processing terminal.besides it analysises each part of them.and explainsthe reason that why we choose the orthogonal receiver,because it can invade the null point .and make a detail introduction of it’s principle .besides the article focused on matlab simulation including breathing and heartbeat modeling, signal separation with LMS or RLS algorithms ,frequency extraction. And the characteristics of each of two algorithms. Finally, using PCA algorithm to make I, Q channel quadrature signal frequency principal component extraction and extraction.
Key words: non-contact vital signs detectors signal separation LMS RLS PCA
目录
1 绪论 1
1.1 选题背景 1
1.3 本文内容安排 2
2 非接触生命体征监护的系统设计 3
2.1 系统总体框图 3
2.2 回波信号处理模型 4
2.3 回波建模的原理 5
2.4单通道接收机与正交接收机 6
2.5 回波信号具体处理过程 8
3 用滤波器分离呼吸与心跳信号 9
3.2 滤波器的matlab仿真 9
3.3 仿真结果分析 12
4、LMS算法和RLS算法 13
4.1 自适应滤波器 13
4.2 自适应滤波算法 13
4.3 LMS算法 14
4.31 LMS算法综述 14
4.32 LMS算法的基本原理[3] RLS和LMS的非接触式生命体征监护的算法研究:http://www.youerw.com/tongxin/lunwen_72131.html