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基于诊断特征提取的体震信号盲分帧算法研究
引用本文:蒋芳芳,王旭,杨丹.基于诊断特征提取的体震信号盲分帧算法研究[J].系统仿真学报,2011,23(10):2056-2059.
作者姓名:蒋芳芳  王旭  杨丹
作者单位:东北大学电子科学与技术研究所,沈阳,110819
基金项目:国家自然科学基金(50477015); 中央高校基本科研业务费资助项目(N100604006)
摘    要:目前,体震信号常用于检测人体心率和呼吸率参数,适合在日常实时监测中使用。然而,要将其最终应用于医学临床实践,首先必须实现其诊断功能。总结了一系列逆于临床的体震信号诊断参数,并针对其特征提出一种盲分帧算法,结合Kohonen自纽织神经网络的聚类功能,无监督地对独立心动周期中的特征点进行分类,最终提取体震信号的诊断特征。使用同步检测的心电信号和心率不齐病例,对所提算法进行定量和定性对比实验,仿真结果准确率较高,证明了该方法的可行性。

关 键 词:体震信号  诊断特征提取  盲分帧  心电信号

Research on Blind Segmentation Method for Ballistocardiogram Signal Based on Diagnosis Characteristic Extraction
JIANG Fang-fang,WANG Xu,YANG Dan.Research on Blind Segmentation Method for Ballistocardiogram Signal Based on Diagnosis Characteristic Extraction[J].Journal of System Simulation,2011,23(10):2056-2059.
Authors:JIANG Fang-fang  WANG Xu  YANG Dan
Institution:JIANG Fang-fang,WANG Xu,YANG Dan(Institute of Electronic Science and Technology,Northeastern University,Shenyang 110819,China)
Abstract:Ballistocardiogram is usually used to detect heart rate and respiratory rate at present,which is more suitable to be applied to real-time monitoring system.However,if it is wanted to diagnose diseases with ballistocardiogram signal clinically,the diagnosis characteristics must be extracted.A series of parameters were summarized to determine heart function.Based on the diagnosis characteristics,a blind segmentation method was proposed,which combined the Kohonen network to cluster without supervision.Finally,...
Keywords:ballistocardiogram signal  diagnosis characteristic extraction  blind segmentation  ECG signal  
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