文献类型：期刊文献

中文题名：信号突变点的检测识别研究及应用

英文题名：Research and Application on the Detection and Identification of Signal Mutation Points

作者：李媛[1];王倩[2]

第一作者：李媛

机构：[1]北京联合大学机器人学院,北京100101;[2]西湖大学生命科学学院,杭州310024

第一机构：北京联合大学机器人学院

年份：2024

卷号：38

期号：2

起止页码：51-58

中文期刊名：北京联合大学学报

外文期刊名：Journal of Beijing Union University

基金：北京联合大学学科大类平台课程建设项目。

语种：中文

中文关键词：信号突变点;特征提取;信息识别;小波变换

外文关键词：signal mutation points;feature extraction;information identification;wavelet transform

摘要：通过研究MATLAB软件对信号的预处理方式,并分析多种小波变换的特点及提取能力,探究对人体血压信号突变点的优化提取及识别方法。主要步骤为:利用移动平均滤波器对血压信号进行平滑去噪处理,采用Mexh小波变换实现信号特征提取,应用findpeaks函数进行识别,完成对人体血压信号的分析和处理。实验验证测量误差为0.5 mmHg,处于可允许误差范围之内。
By studying the signal pre-processing method of MATLAB,and analyzing the characteristics and extraction ability of various wavelet transforms,this paper explores the optimal extraction and recognition method of abrupt change point of human blood pressure signal.The main steps are as follows:the blood pressure signal is denoised by moving average filter,Mexh wavelet transform is used to extract signal features,and the findpeaks function is used to identify.Hence the analysis and processing of the human blood pressure signal is completed.The experimental results show that the measurement error is 0.5 mmHg,which is within the allowable error range.