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作 者:黄浩 孙毅勇 HUANG Hao;SUN Yiyong(School of Medical Instrument and Food Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China;Shanghai MicroPort EP MedTech Co.,Ltd.,Shanghai 201318,China)
机构地区:[1]上海理工大学医疗器械与食品学院,上海200093 [2]上海微创电生理医疗科技股份有限公司,上海201318
出 处:《生物信息学》2019年第2期102-110,共9页Chinese Journal of Bioinformatics
摘 要:为了进一步探究房颤患者心内不同位置信号的主导频率(Dominant frequency,简称DF)的关联性,本文对传统的Botteron’s算法进行了改进。当信号中含有较大幅值的室波时,该改进算法可以更好地提取DF。利用该算法对20例临床房颤消融手术的冠状静脉窦(Coronary sinus,简称CS)导管、环肺静脉(Pulmonary veins,简称PV)导管采集的信号进行了观察和分析。在大部分病例中都能观察到其CS和PV的信号里都存在相同频率的DF;同时发现CS的DF并不仅仅来自当前标测的PV。实验结果表明:房颤的潜在病灶区域不仅仅具有较高频率的DF,且其DF的频率应当与心房采集的DF频率存在对应关系。这或许可以为寻找房颤的潜在病灶区域提供参考。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.
分 类 号:R331.38[医药卫生—人体生理学]
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