Method of adaptive filtering of pulse-wave low-frequency distortions

Aleksandr Aleksandrovich Fedotov; Sergey Anatolievich Akulov

doi:10.3103/S0735272715010069

Authors

Aleksandr Aleksandrovich Fedotov Samara State Aerospace University, Russian Federation https://orcid.org/0000-0002-6022-6314
Sergey Anatolievich Akulov Samara State Aerospace University, Russian Federation

DOI:

https://doi.org/10.3103/S0735272715010069

Keywords:

pulse-wave, drift of isoline, filtering error, adaptive filtering

Abstract

Different methods of correcting the low-frequency distortions of pulse-wave signal have been considered. A correction method based on forming a reference signal of adaptive filter and using low-frequency filtering of initial biosignal is proposed. The efficiency of different methods of pulse-wave filtering is investigated under the conditions of exposure to interferences of different intensity. It has been found out that the proposed method of filtering low-frequency interferences makes it possible to obtain the lowest distortions in signal processing as compared to the model signals free from manifestation of distorting effects.

References

ALLEN, JOHN. Photoplethysmography and its application in clinical physiological measurement. Physiol. Meas., 2007, v.28, n.3, p.R1, DOI: http://dx.doi.org/10.1088/0967-3334/28/3/R01.
FEDOTOV, A.A.; AKULOV, S.A. Measuring Transducers of Biomedical Signals in Clinical Monitoring Systems. Moscow: Radio i Svyaz’, 2013 [in Russian].
WANG, K.Q.; XU, L.S.; WANG, L.; LI, Z.G.; LI, Y.Z. Pulse baseline wander removal using wavelet approximation. Proc. of IEEE Conf. on Computers in Cardiology, 21–24 Sept. 2003. IEEE, 2003, v.30, p.605-608, DOI: http://dx.doi.org/10.1109/CIC.2003.1291228.
RANGAYYAN, RANGARAJ M. Biomedical Signal Analysis: A Case-Study Approach. Wiley-IEEE Press, 2002, ISBN: 978-0-471-20811-2.
KALAKUTSKY, L.I.; FEDOTOV, A.A. Diagnostics of endothelial dysfunction by the method of contour analysis of pulse wave. Izv. SFedU. Engineering Sciences, 2009, n.9, p.93-98, http://izv-tn.tti.sfedu.ru/?p=15348.
CHEN, X.; MUKKAMALA, R. Selective quantification of the cardiac sympathetic and parasympathetic nervous systems by multisignal analysis of cardiorespiratory variability. Am. J. Physiol. Heart Circ. Physiol., 2008, v.294, n.1, p.362-371, PMID: 17993596.
FEDOTOV, A.A. Amplitude-time method for detecting characteristic pulse-wave points. Biomedical Eng., 2013, v.46, n.6, p.241-245, DOI: http://dx.doi.org/10.1007/s10527-013-9315-z.