Ultrasonic assessment of platelet-rich plasma by digital signal processing techniques

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Abstract

This paper presents the implementation of an ultrasonic non-invasive and non-destructive system for the acoustic characterization of bovine Platelet-Rich Plasma based on advanced digital signal processing techniques. The system comprises the development of computational procedures that allow spectral estimation of parameters such as the angular coefficients with linear frequency dependence and the measurement of the speed of sound of regions of concern in sample studies. The results show that the relationship of acoustic parameters obtained from backscattered ultrasonic signals contributes to the hematological prediction of platelet concentration based on linear regression model.

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Villamarín, J. A., Jiménez, Y. M., Molano, T., Gutiérrez, E. W., Londoño, L. F., Gutiérrez, D., & Montilla, D. (2018). Ultrasonic assessment of platelet-rich plasma by digital signal processing techniques. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10657 LNCS, pp. 306–313). Springer Verlag. https://doi.org/10.1007/978-3-319-75193-1_37

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