Xu Lisheng, Zhang David, Wang Kuanquan
Department of Computer Science and Technology, Harbin Institute of Technology, China.
IEEE Trans Biomed Eng. 2005 Nov;52(11):1973-5. doi: 10.1109/TBME.2005.856296.
This paper presents an energy ratio-based method and a wavelet-based cascaded adaptive filter (CAF) for detecting and removing baseline drift from pulse waveforms. Experiments on 50 simulated and five hundred real pulse signals demonstrate that this CAF outperforms traditional filters both in removing baseline drift and in preserving the diagnostic information of pulse waveforms.
本文提出了一种基于能量比的方法和一种基于小波的级联自适应滤波器（CAF），用于检测和去除脉搏波形中的基线漂移。对50个模拟脉搏信号和500个真实脉搏信号进行的实验表明，这种CAF在去除基线漂移和保留脉搏波形诊断信息方面均优于传统滤波器。
