Mase M, Marsili I A, Nollo G, Ravelli F
Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:6347-6350. doi: 10.1109/EMBC.2019.8857842.
We introduced a modeling framework for the generation of realistic ventricular interval (RR) series to be used in the validation of atrial arrhythmia detection algorithms. The framework included three previously proposed models, which reproduced the specific variability properties of RR series in normal sinus rhythm, atrial flutter (AFL) and atrial fibrillation (AF). Transitions between the three rhythms were governed by a three-state continuous-time Markov chain model, which could be tuned to obtain arrhythmic episodes of the requested length. As a representative application, the modeling framework was used to generate a database of RR series for the validation of a previously proposed AF detection algorithm, which was based on RR pattern similarity. The validation showed the deterioration of detector performance in presence of simulated AFL episodes. Thanks to the detailed reproduction of the specific features of the two most common atrial arrhythmias, our modeling framework may constitute a novel tool for the assessment and comparison of detection algorithm performance.
我们引入了一个用于生成逼真的心室间期（RR）序列的建模框架，以用于心房心律失常检测算法的验证。该框架包括三个先前提出的模型，它们再现了正常窦性心律、心房扑动（AFL）和心房颤动（AF）中RR序列的特定变异性特征。三种心律之间的转换由一个三状态连续时间马尔可夫链模型控制，该模型可以进行调整以获得所需长度的心律失常发作。作为一个代表性应用，该建模框架被用于生成一个RR序列数据库，以验证先前提出的基于RR模式相似性的AF检测算法。验证结果表明，在存在模拟AFL发作的情况下，检测器性能会下降。由于对两种最常见心房心律失常的特定特征进行了详细再现，我们的建模框架可能构成一种用于评估和比较检测算法性能的新型工具。
