Algorithm for motion artifacts removal from the ensemble of pulse waves

Authors

  • M. A. Sveredyuk Ternopil Ivan Puluj National Technical University, Ternopil

DOI:

https://doi.org/10.20535/RADAP.2015.62.13-19

Keywords:

pulse wave, photoplethysmographic signal, ensemble, averaging, artifacts

Abstract

Introduction. In this paper we propose an artifact removal algorithm (motion artifacts) from the ensemble of pulse waves of photoplethysmographic signal.
Research results. The motion artifact is removed by using the extremes detection algorithm for photoplethysmographic signals and presenting it in the phase space. To test the artifacts removal algorithm the relative error of the amplitude of the direct wave was analyzed. The average relative error for the proposed algorithm, in comparison with manual removal of artifacts equals 0.71% (without removing of artifacts – 2.84%).
Conclusions. The algorithm allows to evaluate the morphological parameters of the pulse wave with the motion artifacts (with higher accuracy). The developed algorithm is suitable for automatic analysis of photoplethysmographic signals and can be used in clinical and scientific research programs.

Author Biography

M. A. Sveredyuk, Ternopil Ivan Puluj National Technical University, Ternopil

Sveredyuk M. A.

References

Перелік посилань

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References

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Yavorskyy B.I. (2014) Application of the Principle of Symmetry for Synchronization of Biosignals in their Sample. TCSET-2014, Lviv-Slavske, Ukraine, pp. 714.

Hurwitz B.E., Hurwitz B.E., Shyu L., Reddy S.P., Schneiderman N., Nagel J.H. Coherent ensemble averaging techniques for impedance cardiography. CBMS, 1990, pp. 228-235.

Lisogurski D. (2014) Systems and methods for ensemble averaging in pulse oximetry. Patent US 20140187883 A1.

Pauca A.L., O'Rourke M.F., Kon N.D. (2001) Prospective evaluation of a method for estimating ascending aortic pressure from the radial artery pressure waveform. Hypertension, no. 38, pp. 932-937.

Nier B.A., Harrington L.S., Carrier M.J., Weinberg P.D. (2008) Evidence for a specific influence of the nitrergic pathway on the peripheral pulse waveform in rabbits. Exp Physiol, no. 93, pp. 503-512.

Hashimoto J., Ito S. (2010) Pulse Pressure Amplification, Arterial Stiffness, and Peripheral Wave Reflection Determine Pulsatile Flow Waveform of the Femoral Artery. Hypertension, no. 56, pp. 926-33.

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Sveredyuk M.A. Automatic extremes detection algorithm for photoplethysmographic signals. Visnyk VPI. (in Ukrainian)

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Published

2015-09-30

How to Cite

Свередюк, М. А. (2015) “Algorithm for motion artifacts removal from the ensemble of pulse waves”, Visnyk NTUU KPI Seriia - Radiotekhnika Radioaparatobuduvannia, 0(62), pp. 13-19. doi: 10.20535/RADAP.2015.62.13-19.

Issue

No. 62 (2015)

Section

Computing methods in radio electronics

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