基于盲源分离的心室晚电位信号检测

The Detection of Ventricular Late Potentials Based on Blind Source Separation

采用快速独立分量分析方法研究了心室晚电位信号的特征提取和检测,提出了利用通道扩展的方法,将有限的2通道数据扩展为4通道数据.通过快速独立分量分析方法进行盲源分离,实现了心室晚电位信号与正常心电信号的完全分离.仿真结果表明,利用独立分量分析方法对心室晚电位信号的特征检测是一种行之有效的手段.

Based on fast independent component analysis （FICA）, the study of feature extraction and detection about ventricular late potentials （VLP） was conducted. The channel expansion method was proposed to get 4 channel data from 2 channel data. At last, the VLP is separated completely from the normal electrocardiogram by using FICA to carry out bind source separation. The simulation result shows that independent component analysis is an effective means to achieve the feature detection of VLP.