步调的P波形态模板来指导心房动脉 lokalization:一个导出和验证研究
Ahmed El Damaty1, Dhaifallah Yahya1, Mahmoud El-Mowafy1
1Department of Cardiovascular Medicine, Electrophysiology and Pacing Service, Cairo University, Cairo, Egypt.
Pacing and clinical electrophysiology : PACE
|July 4, 2023
概括
一种新的心电图 (ECG) 算法准确地识别了没有心脏病的患者中焦点心房低心率 (AT) 的起源. 这个工具使用来自心房节拍的P波形态模板来精确定位AT源,帮助导管切除.
科学领域:
- 心脏病学 心脏病学
- 电子生理学 电子生理学
- 医疗成像医学成像
背景情况:
- 表面心电图 (ECG) 对于指导焦点心房低心率 (AT) 映射至关重要.
- 精确地定位AT起源对于成功的导管切除是必不可少的.
研究的目的:
- 开发一个12导电图算法,以基于P波形态 (PWM) 在心房节奏期间定位焦点AT起源.
- 为了验证这个算法在受焦点AT导管切除的患者中.
主要方法:
- 在没有结构性心脏病的患者中,在各种心房部位的内心节律调节中构建了12导电图PWM模板.
- 基于这些模板开发了一个本地化算法.
- 在接受导管切除的焦点AT患者队列中验证了算法.
主要成果:
- 该算法在预测AT起源方面表现出很高的准确性:整体91.5% (左心房100%,右心房87.2%).
- 在衍生队列中,在61名患者中分析了1025个节奏点.
- 验证队列包括71名焦点AT患者,主要来自右心室 (66.2%).
结论:
- 使用节奏PWM模板的简单的ECG算法对于定位焦点AT的来源非常有效.
- 这种方法在结构正常的心脏患者中被证明是准确的,简化了AT映射和切除指导.
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