微型机与应用2016，Vol.35Issue(22)：36-39,4.DOI:10.19358/j.issn.1674-7720.2016.22.010
基于脉搏的心冲击信号特征提取方法研究
Ballistocardiogram signals feature extraction method based on pulse signals
摘要
Abstract
Aiming at the difficult point of ballistocardiogram(BCG) signal feature extraction in heart disease diagnosis process,a new method of BCG feature extraction is presented taking the synchronous acquisition pulse signal as BCG subsection standard.Firstly, this paper introduces the BCG and pulse signals detection theory, and the original BCG signal is pretreated through the trend of elimination and DB5 wavelet transform.Then the correlation of BCG, ECG and pulse signals is analyzed.Finally, the algorithm of the BCG feature extraction is proposed.The experimental results show that, compared with ECG, the method of pulse signals being used as BCG subsection standard has higher accurate rate on subsection and more convenient operation characteristics.The portable system can automatically detects the BCG signals of the subjects at any time.This method lays a foundation for accurate diagnosis of heart disease in the future clinic applications.关键词
心冲击/心电图/脉搏/特征提取/小波分析Key words
ballistocardiogram(BCG)/electrocardiogram(ECG)/pulse/feature extraction/wavelet analysis分类
计算机与自动化引用本文复制引用
王春武,程礼邦,丁煜,刘春玲..基于脉搏的心冲击信号特征提取方法研究[J].微型机与应用,2016,35(22):36-39,4.基金项目
吉林省教育厅"十二五"科学技术研究项目(2014[489]) （2014[489]）
