Algorithm for classification of RV strain patterns in ARVC
Algorithm for the automatic classification of right ventricle deformation patterns in arrhytmogenic right ventricular cardiomyopathy.
Input: Echocardiographic strain data of the right ventricle, as analyzed using EchoPAC (version 12, GE Vingmed Ultrasound AS). Exported data should be converted to mat-files as described in the m-file.
Output: onset of shortening, peak strain, systolic peak strain, post systolic shortening relative to the peak strain and the accompanying classification score
Background of the algorithm:
http://www.onlinejacc.org/content/68/20/2185 and https://doi.org/10.1111/echo.14671
Cite As
Groen MHA, Bosman LP, Teske AJ, et al. Development of an algorithm for automatic classification of right ventricle deformation patterns in arrhythmogenic right ventricular cardiomyopathy. Echocardiography. 2020;00:1–8.
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- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Classification > Discriminant Analysis >
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