CMACS Research Featured on Cover of Transactions on Computational Biology and Bioinformatics

CMACS researchers Murthy, Bartocci, Fenton, Glimm, Cherry, Smolka and Grosu have developed a Spiral Classification Algorithm (SCA), a fast and accurate algorithm for classifying electrical spiral waves and their associated breakup in cardiac tissues. This work appears in the March-April 2013 issue of the IEEE/ACM Transactions on Computational Biology and Bionformatics, and is featured on the issue's cover. Please see the accompanying graphic.

The classification performed by SCA is an essential component of the detection and analysis of various cardiac arrhythmic disorders, including ventricular tachycardia and fibrillation. Distinct signatures have also been identified for spiral breakup. These results represent a significant first step in automatically determining parameter ranges for which a computational cardiac-cell network accurately reproduces a particular kind of cardiac arrhythmia, such as ventricular fibrillation.

Curvature Analysis of Cardiac Excitation Wavefronts

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nsfSupported by an Expeditions in Computing award from the National Science Foundation