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毕业设计

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DZ061应用LabVIEW进行人体脉搏分析,毕业设计

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I 应用 LabVIEW 进行人体脉搏分析 专业： 通信工程 学号： 1002594 姓名： 祝熙 指导教师： 王华栋 中文摘要 自古以来中医一直是靠手指获取脉搏信息 ,这难免存在许多主观臆断因素 , 并且这种用手指切脉的技巧很难掌握 ,因此人们迫切期望尽早实现脉诊的科学化和现代化 ;另一方面从西医的角度看 , 近年来人们也试图根据脉搏 波的变异性来评价和诊断人体心血管系统的病变 , 以便能找到一个有效的心血管疾病早期无创诊断的方法 因此 , 对脉搏信号进行无失真的检测 采集和处理是一项重要而很有意义的基础工作 , 它是对脉搏信号进一步分析并依此对心脏及动脉血管系统疾病进行预报和诊断的前提 本文采用肥华科电子技术研究所研制的 HK-2000C 集成化数字脉搏传感器 ,将测试者的脉搏信号采集到计算机中 ,并且以数据文件格式存储 应用 labVIEW软件设计了脉搏信号的 采集 系统 时域分析 系统 频域分析 系统 取检测对象 134例 ,其中健康人 73 例 ,冠心病 高血 压患者 61 例 将采集的信号进行 时域 频域 分析 ,并对各种分析方法进行比较 在时域分析中采用了两种方法进行分析 ,一种是 前人使用过的 脉搏波波图面积变化为基础的脉搏波形特征量 K 值的提取方法 ,但是通过数据统计 ,这种方法无法准确区分开正常人与病人的差异 另 一种是将时域波形进行一阶求导 ,然后求出脉搏波下降沿中斜率为负的占整个下降沿的百分比 ,即提取出重波波的所占比例 可以有效区分正常人与病人的差异 在频域分析中借鉴了模式识别中语音识别的技术 ,将谐波分量提取出来 ,所有谐波分量将确定一个多维的向量 ,病人和正常人向量之间的相关 度和空间距离都存在着差异 关键词： 脉搏信号，时域分析，频域分析，脉象识别 nts II THE ANALYSIS OF HUMAN PULSE SIGNAL USING LABVIEW Abstract Herbalist doctor always depends on their finger to obtain pulse information since the ancient times, however this method exists many unavoidably subjective decisions, and this kind of skill which feels the pulse with their fingers is very difficult to grasp, therefore people expected urgently to realize the scientific and modernized diagnosis as soon as possible. From the western medicines prospective , in order to find an effective method of cardiovascular disease diagnosis in early time, the people also attempted to appraise and diagnose the pathological change of human body cardiovascular system according to the changeability of pulse wave in recent years. Therefore, carrying on non-distorted examination of pulse signal, gathering and processing is an significant foundational work, it is the premise of further analysis to the pulse signal and the forecast and diagnosis to the heart and artery vascular system disease. This article uses HK-2000C integration numeral pulse sensor developed by HuaKe Electronic Technology Research Institute. It is used to collect pulse signal of subjects into computer and store them in data file. Designed the pulse signal collection system,time domain analysis system and frequency domain analysis system using LabVIEW software. 134 objects are taken, including 73 healthy person, 61 coronary disease and hypertension patients. Analysed the signal using time domain and frequency domain system, then compared each analysis method. Two methods in the time domain analysis are introduced. one method is the extraction of pulse contour characteristic value k based on the pulse area change, the other is carried on the first derivation in the time domain, then extracted the the percentage of the negative slope to the entire slope, namely withdrew the proportion of the the pulsate again wave. A method in the frequency domain analysis is also applied, one is profited from the pattern recognition and the speech recognition technology, withdrawed the harmonic component, all harmonic component determined a multi-dimensional vector. The vectors correlation and the space distance between th