Adaptive baseline wander removal in the ECG: Comparative analysis with cubic spline technique

Raimon Jane, Pablo Laguna, Nitish V. Thakor, Pere Caminal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

76 Scopus citations


Baseline wandering is a classical problem in electrocardiogram (ECG) records that generally produces artifactual data when measuring ECG parameters. The authors present a cascade adaptive filter for removing the baseline wander and preserving the low-frequency components of the ECG. This cascade adaptive filter works in two stages. The first stage is an adaptive notch filter at zero frequency. The second stage is an adaptive impulse correlated filter that, using a QRS detector, estimates the ECG signal correlated with the QRS occurrence. In this way, all the signal components correlated with the QRS complex are preserved. The authors analyze the frequency response of the filter, showing that the filter can be seen as a comb filter without the DC lobe. The method was applied to ECG signals from the MIT-BIH database and its performance was compared with the cubic spline approach. The method can remove baseline wander in real time without needing to calculate the isoelectric levels, while preserving the low-frequency ECG clinical information.

Original languageEnglish (US)
Title of host publicationProceedings - Computers in Cardiology, CIC 1992
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)0818635525, 9780818635526
StatePublished - 1992
Event1992 IEEE Conference on Computers in Cardiology, CIC 1992 - Durham, United States
Duration: Oct 11 1992Oct 14 1992

Publication series

NameProceedings - Computers in Cardiology, CIC 1992


Conference1992 IEEE Conference on Computers in Cardiology, CIC 1992
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine
  • Health Informatics
  • Computer Science Applications
  • Biomedical Engineering


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