Classification of cardiac arrhythmia in vitro based on multivariate complexity analysis

Background: The animal models (in vitro or in vivo) provide an excellent tool to study heart diseases, among them the arrhythmia remains one of the most active research subjects. Problems: However, the arrhythmia inducing or treating effects in cardiac culture often happened long after the initial applications or in some relatively short time windows. Human-assisted monitoring is time-consuming and less efficient to capture rapidly the events. Methods: Electrocardiological signals are features by repetitive or similar patterns reflecting their intrinsic dynamics. Analyzing these patterns is of considerable interest to monitor/evaluate these dynamics' changes. Aims: Find appropriate (complexity) index which allows monitoring and classifying the arrhythmic events during the real-time signal acquisition in vitro or in clinical applications.