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Proceedings Paper

Akima splines for minimization of breathing interference in aortic rheography data
Author(s): Maria O. Tsoy; Elena S. Stiukhina; Victor A. Klochkov; Dmitry E. Postnov
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Paper Abstract

The elimination of low-frequency noise of breath and motion artifacts is one of the most difficult challenges of preprocessing rheographic signal. The data filtering is the conventional way to separate useful signal from noise and interferences. Conventionally, linear filtering is used to easy design and implementation. However, in some cases such techniques are difficult, if possible, to apply, since the data frequency range is overlapped with one of interferences. Specifically, it happens in aortic rheography, where some breathing process and pulmonary blood flow contributions are unavoidable. We suggest an alternative approach for breathing interference reduction, based on adaptive reconstruction of baseline deviation. Specifically, the computational scheme based on multiple calculation of Akima splines is suggested, implemented using C# language and validated using surrogate data. The applications of proposed technique to the real data processing deliver the better quality of aortic valve opening detection.

Paper Details

Date Published: 19 March 2015
PDF: 6 pages
Proc. SPIE 9448, Saratov Fall Meeting 2014: Optical Technologies in Biophysics and Medicine XVI; Laser Physics and Photonics XVI; and Computational Biophysics, 94481L (19 March 2015); doi: 10.1117/12.2179872
Show Author Affiliations
Maria O. Tsoy, N.G. Chernyshevsky Saratov State Univ. (Russian Federation)
Elena S. Stiukhina, N.G. Chernyshevsky Saratov State Univ. (Russian Federation)
Victor A. Klochkov, Saratov Scientific Research Institute of Cardiology (Russian Federation)
Dmitry E. Postnov, N.G. Chernyshevsky Saratov State Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 9448:
Saratov Fall Meeting 2014: Optical Technologies in Biophysics and Medicine XVI; Laser Physics and Photonics XVI; and Computational Biophysics
Elina A. Genina; Vladimir L. Derbov; Kirill V. Larin; Dmitry E. Postnov; Valery V. Tuchin, Editor(s)

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