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

Volume

52

Issue

11

fYear

2005

Firstpage

1973

Lastpage

1975

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;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/TBME.2005.856296

Filename

1519608