Wavelet-based cascaded adaptive filter for removing baseline drift in pulse waveforms

Lisheng Xu; David Zhang; Kuanquan Wang

doi:10.1109/TBME.2005.856296

Wavelet-based cascaded adaptive filter for removing baseline drift in pulse waveforms

Lisheng Xu
, David Zhang^*
, Kuanquan Wang

^*Corresponding author for this work

Faculty of Computing

Research output: Contribution to journal › Article › peer-review

110 Scopus citations

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.

Original language	English
Pages (from-to)	1973-1975
Number of pages	3
Journal	IEEE Transactions on Biomedical Engineering
Volume	52
Issue number	11
DOIs	https://doi.org/10.1109/TBME.2005.856296
State	Published - Nov 2005

Keywords

Baseline drift
Filter
Pulse waveform

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10.1109/TBME.2005.856296

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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.",

keywords = "Baseline drift, Filter, Pulse waveform",

author = "Lisheng Xu and David Zhang and Kuanquan Wang",

year = "2005",

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AU - Xu, Lisheng

AU - Zhang, David

AU - Wang, Kuanquan

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N2 - 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.

AB - 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.

KW - Baseline drift

KW - Filter

KW - Pulse waveform

UR - https://www.scopus.com/pages/publications/27644553808

U2 - 10.1109/TBME.2005.856296

DO - 10.1109/TBME.2005.856296

M3 - 文章

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AN - SCOPUS:27644553808

SN - 0018-9294

VL - 52

SP - 1973

EP - 1975

JO - IEEE Transactions on Biomedical Engineering

JF - IEEE Transactions on Biomedical Engineering

IS - 11

ER -

Wavelet-based cascaded adaptive filter for removing baseline drift in pulse waveforms

Abstract

Keywords

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