title: Wavelet-based cascaded adaptive filter for removing baseline drift in pulse waveforms.
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.
authors.affiliation: Department of Computer Science and Technology, Harbin Institute of Technology, China. xulisheng@hit.edu.cn
authors.forename: Lisheng
authors.initials: L
authors.lastname: Xu
authors.forename: David
authors.initials: D
authors.lastname: Zhang
authors.forename: Kuanquan
authors.initials: K
authors.lastname: Wang
mesh_terms: D000465:Algorithms; D016477:Artifacts; D001683:Biological Clocks / Q000502:physiology*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004562:Electrocardiography / Q000379:methods; D004569:Electroencephalography / Q000379:methods; D011673:Pulsatile Flow / Q000502:physiology*; D012815:Signal Processing, Computer-Assisted