Lai Dakun, Ding Fangmei, Xie Chunliu, Zhang Yifei
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:5065-5068. doi: 10.1109/EMBC44109.2020.9176152.
During radiofrequency catheterization for atrial fibrillation, how to accurately obtain non-X-ray intracardiac catheter position is crucial to successful endocardial mapping and ablation treatment. The major limitation of the cost-effective intracardiac catheter tracking with transthoracic electrical-fields is that the distribution of electrical conductivity within the volume torso remains dynamics and nonlinear and changes with the patient's respiratory motion. Studies have shown respiratory motion-induced catheter localization error over 20 mm. In this study, we present a novel adaptive respiratory motion compensation algorithm with singular value decomposition for reducing the interference of respiration to ensure the accuracy of intracardiac catheter localization. Animal experiments in swine were carried out for assessing the performance of the propose method through a comparison with a traditional filtering method. The obtained results demonstrate that the proposed adaptive filter based on the SVD performed well to track the original information of catheter position by accurately and timely removing the respiratory interference in case of either a fast- or slow- moving catheter operation. Future applications of this algorithm would be potentially useful for intracardiac catheter localization and real-time tracking.
在房颤的射频导管消融术中，如何准确获取非X射线心内导管位置对于成功的心内膜标测和消融治疗至关重要。利用经胸电场进行经济高效的心内导管追踪的主要局限在于，躯干容积内的电导率分布呈动态且非线性，并且会随患者呼吸运动而变化。研究表明，呼吸运动引起的导管定位误差超过20毫米。在本研究中，我们提出了一种新颖的基于奇异值分解的自适应呼吸运动补偿算法，以减少呼吸干扰，确保心内导管定位的准确性。通过与传统滤波方法进行比较，在猪身上开展了动物实验，以评估所提方法的性能。所得结果表明，基于奇异值分解的所提自适应滤波器在导管操作快速或缓慢移动的情况下，通过准确及时地消除呼吸干扰，能够很好地追踪导管位置的原始信息。该算法未来的应用可能对心内导管定位和实时追踪很有用。
