摘要
对40 例信号平均心电图的矢量幅值波进行了小波变换,分析了心室晚电位在时频域中的特征.研究结果表明:心室晚电位在时频空间中特征分布明显,易于识别,可有效排除噪声的影响。
The conventional time domain analysis method of ventricular late potentials is dependent on three characteristic parameters detected from vector magnitude waves. As the characterization values are affected by noise, detection accuracy rate is lower. The characteristic distribution of ventricular late potentials in time frequency domains by means of wavelet transforms is analyzed. The results show that the ventricular late potentials are easy to recognize in time frequency domain. It is effective to reduce noise affection and improve detection accuracy rate.
出处
《华中理工大学学报》
CSCD
北大核心
1999年第9期58-60,共3页
Journal of Huazhong University of Science and Technology
关键词
心室晚电位
小波变换
特征分析
心电图
ventricular late potentials
wavelet transform
characterization analysis Wu Shuicai Doctoral Candidate
Institute of Biomedical Eng., HUST, Wuhan 430074, China.