A journal paper co-authored by Dr Fernando Schlindwein chosen as one of journal's best

An article, which is to be published in August issue of the journal Chaos: An Interdisciplinary Journal of Nonlinear Science, was chosen as a "Featured Article".
A journal paper co-authored by Dr Fernando Schlindwein chosen as one of journal's best

Automated AEG classification

Another great achievement from our Bio-engineering team - the paper entitled "Characterization of human persistent atrial fibrillation electrograms using recurrence quantification analysis", co-authored by Dr Fernando Schlindwein, was selected by the editors of the journal Chaos: An Interdisciplinary Journal of Nonlinear Science to be a "Featured Article" of a special issue. The abstract of the article is available below, and the paper can be accessed HERE.

Atrial fibrillation (AF) is regarded as a complex arrhythmia, with one or more co-existing mechanisms, resulting in an intricate structure of atrial activations. Radiofrequency catheter ablation targeting atrial regions characterized by biological markers is broadly accepted for AF treatment. Biological markers that better explain AF behaviour and provide a definitive answer for persistent atrial fibrillation (persAF) therapy are still in debate. As such, the role of low dimensional structures for explaining AF has been the subject of many investigations, showing that recurrence quantification analysis (RQA) might be useful to explore the underlying AF dynamics. However, a consistent set of RQA variables taking into account the specificities of the signals and of the theoretical methodology is still needed. In the present work, we propose rigorous steps for a proper reconstruction of the recurrence plots (RPs) and for the estimation of RQA-based variables extracted from atrial electrograms (AEGs) collected from persAF patients undergoing catheter ablation. We demonstrate that these RQA-based variables are sensitive to important electrophysiologic characteristics of the atrial tissue, and could be potentially used as biological markers to guide the clinical procedure. Additionally, we show that that the spatiotemporal dynamics of persAF mechanisms is not necessarily associated to a random structure.

Big congratulations, Fernando!

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