Robust Approach for Rotor Mapping in Cardiac Tissue
| Autor: | Roman O. Grigoriev, Daniel R. Gurevich |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computer science
Phase (waves) General Physics and Astronomy FOS: Physical sciences 01 natural sciences Signal 010305 fluids & plasmas Position (vector) 0103 physical sciences Atrial Fibrillation Humans Computer Simulation Physics - Biological Physics 010306 general physics Tissues and Organs (q-bio.TO) Mathematical Physics Sinoatrial Node Noise (signal processing) Applied Mathematics Sparse grid Models Cardiovascular Quantitative Biology - Tissues and Organs Statistical and Nonlinear Physics Arrhythmias Cardiac Heart Nonlinear Sciences - Chaotic Dynamics Wave equation Complex dynamics Range (mathematics) Biological Physics (physics.bio-ph) FOS: Biological sciences Catheter Ablation Chaotic Dynamics (nlin.CD) Algorithm Regular Articles |
| Zdroj: | Chaos |
| DOI: | 10.48550/arxiv.1812.10216 |
| Popis: | The motion of and interaction between phase singularities that lie at the centers of spiral waves capture many qualitative and, in some cases, quantitative features of complex dynamics in excitable systems. Being able to accurately reconstruct their position is thus quite important, even if the data are noisy and sparse, as in electrophysiology studies of cardiac arrhythmias, for instance. A recently proposed global topological approach [Marcotte and Grigoriev, Chaos 27, 093936 (2017)] promises to meaningfully improve the quality of the reconstruction compared with traditional, local approaches. Indeed, we found that this approach is capable of handling noise levels exceeding the range of the signal with minimal loss of accuracy. Moreover, it also works successfully with data sampled on sparse grids with spacing comparable to the mean separation between the phase singularities for complex patterns featuring multiple interacting spiral waves. |
| Databáze: | OpenAIRE |
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