Measurement Techniques

, Volume 57, Issue 1, pp 91–96 | Cite as

Baseline Drift Filtering for an Arterial Pulse Signal

  • A. A. Fedotov
Medical and Biological Measurements

Different baseline drift filtering methods are examined for an arterial pulse signal. A baseline drift correction method is proposed that is based on generating an adaptive filter reference signal using multiresolution wavelet transforms of the original biosignal, making it possible to achieve the least distortions in processing the signal compared with model signals free of distorting effects. The effectiveness of other methods for filtering the signal is studied when noise of different intensities is present.


arterial pulse signal baseline drift filtering wavelet transform 


  1. 1.
    J. Allen, “Photoplethysmography and its application in clinical physiological measurement,” Physiol. Meas., 28, 1–39 (2007).CrossRefGoogle Scholar
  2. 2.
    J. G. Webster, Design of Pulse Oximeters. Med. Sci. Ser., Taylor and Francis (1997).Google Scholar
  3. 3.
    L. I. Kalakutskii and E. S. Manelis, Clinical Monitoring Instrumentation and Methods [in Russian], Vyssh. Shkola, Moscow (2004).Google Scholar
  4. 4.
    R. M. Rangayyan, Biomedical Signal Analysis: A Case-Study Approach [Russian translation from English], Fizmatlit, Moscow (2007).Google Scholar
  5. 5.
    A. A. Fedotov and S. A. Akulov, Mathematical Modeling and Analysis of Uncertainties in Biomedical Signal Measurement Transducers [in Russian], Fizmatlit, Moscow (2013).Google Scholar
  6. 6.
    A. A. Fedotov, “Amplitude-time method for detection of characteristic points in a pulse wave signal,” Med. Tekhn., No. 6, 22–28 (2012).Google Scholar
  7. 7.
    K. Q. Wang et al., “Pulse baseline wander removal using wavelet approximation,” IEEE Comp. Cardiol., 30, 605–608 (2003).Google Scholar
  8. 8.
    T. H. Fu et al., “Heart rate extraction from photoplethysmogram waveform using wavelet multi-resolution analysis,” J. Med. Biol. Eng., 28, No. 4, 229–232 (2008).Google Scholar
  9. 9.
    L. Xu et al., “Wavelet-based cascaded adaptive filter for removing baseline drift in pulse waveforms,” IEEE Trans. Biomed. Eng., 52, No. 11, 1973–1975 (2005).CrossRefADSGoogle Scholar
  10. 10.
    L. I. Kalakutskii and A. A. Fedotov, “Diagnosis of vascular endothelial dysfunction by pulse wave contour analysis,” Izv. YuFU. Tekhn. Nauki, No. 9, 93–98 (2009).Google Scholar
  11. 11.
    X. Chen and R. Mukkamala, “Selective quantification of the cardiac sympathetic and parasympathetic nervous systems by multisignal analysis of cardiorespiratory variability,” J. Physiol., 294, 362–371 (2008).Google Scholar
  12. 12.
    A. A. Fedotov, “Selection of filtering parameters for an arterial pulse signal based on application of multi-resolution wavelet transforms,” Med. Tekhn., No. 3, 31–34 (2013).Google Scholar
  13. 13.
    G. Strang and T. Nguyen, Wavelets and Filter Banks, Wellesley/Cambridge Press (1996).Google Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.Korolev Samara State Aerospace UniversitySamaraRussia

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