| Autor: |
Ravichandran L; Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA 30322, USA. lravich@emory.edu, Wick CA, Tridandapani S |
| Jazyk: |
angličtina |
| Zdroj: |
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2012; Vol. 2012, pp. 1562-5. |
| DOI: |
10.1109/EMBC.2012.6346241 |
| Abstrakt: |
In order to detect the quasi-stationary states of the heart within a cardiac cycle from echocardiography data, we present an algorithm that uses non-linear filtering and boundary detection. The non-linear filtering algorithm involves anisotropic diffusion to remove the speckle noise from the data and to smoothen the homogeneous regions while preserving the edges. Following this, we perform binary thresholding and boundary detection, and observe the positional changes in the region of interest. From a series of echocardiography images, we derived the regions of cardiac quiescence, which we then plotted on the electrocardiograph (ECG) R-R interval. It is observed that the quiescence occurs in the diastolic region of the ECG signal, but the position and length of quiescence varies across multiple cardiac cycles for the same individual. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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