Detection of Myocardial Dysfunctions Based on Myocardial Strain Dynamics

Wan Zhang; Ran Yin; Yu Xiao Deng; Jun Yi Zeng; Lu Ding; Yi Peng Li

doi:10.4028/www.scientific.net/AMR.934.188

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 934Detection of Myocardial Dysfunctions Based on...

Detection of Myocardial Dysfunctions Based on Myocardial Strain Dynamics

Abstract:

Myocardial strain is a dimensionless quantity and is produced by application of stress. It represents the fractional or percentage change from the original or unstressed dimension and includes both lengthening, or expansion and shortening, or compression. In this paper, we proposed an algorithm to identify the heart dysfunctions through the comparison of the normalized strain and strain rate curves based on cubic B-spline interpolation, after non linear deformation of strain curves and vertical rescaling, abnormal curves can be identified visually based on the curves. Numerical verification of the proposed algorithm illustrated the effectiveness of it.

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Periodical:

Advanced Materials Research (Volume 934)

Pages:

188-192

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.934.188

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Online since:

May 2014

Authors:

Wan Zhang*, Ran Yin, Yu Xiao Deng, Jun Yi Zeng, Lu Ding, Yi Peng Li

Keywords:

Myocardial Dysfunction, Myocardial Strain, Spline

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* - Corresponding Author

References

[1] R. Klabunde, Cardiovascular physiology concepts, Lippincott Williams and Wilkins, (2004).

Google Scholar

[2] M. Unser, A. Aldroubi, and M. Eden, B-spline signal processing: Part I - Theory, IEEE Transactions on Signal Processing, 41(1993) 821-832.

DOI: 10.1109/78.193220

Google Scholar

[3] M. Unser, A. Aldroubi, and M. Eden, B-spline signal processing: Part II -Efficient design and applications, IEEE Transactions on Signal Processing, 41(1993) 834-848.

DOI: 10.1109/78.193221

Google Scholar

[4] C. de Boor, A practical guide to splines, Springer-Verlag, New York, (1978).

Google Scholar

[5] I.J. Schoenberg, Contribution to the problem of approximation of equidistant data by analytic functions, Quart. Appl. Math., 4(1946) 112-141.

DOI: 10.1090/qam/16705

Google Scholar