Algorithm for classification of RV strain patterns in ARVC

Version 1.0.2 (6.65 KB) by MGr
Algorithm for the automatic classification of right ventricle strain patterns in arrhytmogenic right ventricular cardiomyopathy
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Updated 28 Apr 2020

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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.

MATLAB Release Compatibility
Created with R2018a
Compatible with R2015a to R2018b
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.2

Updated citation

1.0.1

Example dataset included

1.0.0