Title :
Wavelet-based cascaded adaptive filter for removing baseline drift in pulse waveforms
Author :
Xu, Lisheng ; Zhang, David ; Wang, Kuanquan
Author_Institution :
Dept. of Comput. Sci. & Technol., Harbin Inst. of Technol., China
Abstract :
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.
Keywords :
adaptive filters; bioelectric phenomena; medical signal detection; medical signal processing; patient diagnosis; waveform analysis; baseline drift detection; baseline drift removal; pulse waveforms; wavelet-based cascaded adaptive filter; Adaptive filters; Computer science; Erbium; Heart rate; Information filtering; Information filters; Medical diagnostic imaging; Signal analysis; Spline; Wiener filter; Baseline drift; filter; pulse waveform; Algorithms; Artifacts; Biological Clocks; Diagnosis, Computer-Assisted; Electrocardiography; Electroencephalography; Pulsatile Flow; Signal Processing, Computer-Assisted;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2005.856296
