摘要
介绍了一种适用于生物医学信号处理与分析的方法——经验模态分解(EMD),结合Hilbert变换对心电(ECG)信号及心跳间期(RRI)信号进行了分析,并重点与小波变换方法进行了比较。
In this paper a new technique, Empirical Mode Decomposition(EMD), for use in non-statlonary and non-linear data processing, was introduced. Some simulated signal, real ECG and RRI signals combined with Hilbert Transform method were analyzed. The authors also put emphasis on the differences between EMD and Wavelet Transform.
出处
《生物医学工程学杂志》
EI
CAS
CSCD
北大核心
2005年第5期1058-1062,共5页
Journal of Biomedical Engineering
基金
广东省自然重点科技攻关项目(99M04701G)