Biomedical Engineering Institute, Kaunas University of Technology, Kaunas, Lithuania.
Physiol Meas. 2017 Nov 1;38(11):2058-2080. doi: 10.1088/1361-6579/aa9153.
A model for simulating multi-lead ECG signals during paroxysmal atrial fibrillation (AF) is proposed.
The model is of particular significance when evaluating detection performance in the presence of brief AF episodes, especially since annotated databases with such episodes are lacking.
The proposed model accounts for important characteristics such as switching between sinus rhythm and AF, varying P-wave morphology, repetition rate of f-waves, presence of atrial premature beats, and various types of noise.
Two expert cardiologists assessed the realism of simulated signals relative to real ECG signals, both in sinus rhythm and AF. The cardiologists identified the correct rhythm in all cases, and considered two-thirds of the simulated signals as realistic. The proposed model was also investigated by evaluating the performance of two AF detectors which explored either rhythm only or both rhythm and morphology. The results show that detection performance is strongly dependent on AF episode duration, and, consequently, demonstrate that the model can play a significant role in the investigation of detector properties.
提出一种模拟阵发性心房颤动（AF）期间多导联心电图信号的模型。
当评估在短暂的 AF 发作期间的检测性能时，该模型特别重要，特别是因为缺乏具有此类发作的注释数据库。
所提出的模型考虑了重要特征，例如窦性节律和 AF 之间的切换、P 波形态的变化、f 波重复率、房性早搏的存在以及各种类型的噪声。
两位专家心脏病学家评估了模拟信号相对于窦性节律和 AF 中的真实 ECG 信号的逼真度。心脏病学家在所有情况下都能识别出正确的节律，并认为三分之二的模拟信号是逼真的。还通过评估仅探索节律或节律和形态的两种 AF 检测器的性能来研究所提出的模型。结果表明，检测性能强烈依赖于 AF 发作持续时间，因此表明该模型在研究检测器特性方面可以发挥重要作用。
