基于滤除R波的主导频率算法的房颤心内信号分析.

In order to better explore the correlation between the dominant frequency (DF) of different endocardial mapping signals of patients with atrial fibrillation，this paper presents an improved algorithm based on the traditional Botteron，s algorithm. The algorithm can effectively extract DFs when the ventricular amplitude is larger. Signals collected by coronary sinus (CS) catheters and pulmonary venous (PV) catheters in 20 cases of clinical atrial fibrillation ablation procedures were observed and analyzed by Botteron，s algorithm and the improved algorithm. Equal DFs were found in both CS and PV signals in most of the cases. In addition，it was observed that the DFs of the CS were not only from the currently measured PV. Finally，based on the results of the above observation，this paper proposes a hypothesis that the potential ablation target should not only have relatively higher DFs， but also have consistent DFs of the signal collected from the atrium，which may provide a reference for finding the potential ablation target. [ABSTRACT FROM AUTHOR]