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.
作者
李媛
王倩
LI Yuan;WANG Qian(College of Robotics,Beijing Union University,Beijing 100101,China;School of Life Sciences,West Lake University,Hangzhou 310024,China)
出处
《北京联合大学学报》
CAS
2024年第2期51-58,共8页
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。
关键词
信号突变点
特征提取
信息识别
小波变换
signal mutation points
feature extraction
information identification
wavelet transform
