关键词: 自适应建模 小波分析 Kalman滤波 心电信号

Abstract:

In this paper, we first build a real-time electrocardiograph signal model using the RLS self-adapting algorithm. After about 20 periods, this algorith m can implement its proper adjustment. According to the multi-scale theory and by integrating wavelet analysis with the Kalman filtering, we can predict  signals as well as locate the R mount for electrocardiograph signals. The misjudgement which is produced by the false tracks in electrocardiograph sign als can be avoided through setting the corresponding detection policies using the wavelet detection method. The algorithm can enhance the noise resistan ce performance.

Key words: self-adaptive modeling, wavelet analysis, Kalman filtering, electrocardiograph signal