一个基于电图特征的注释独立算法,用于指导在结构性心脏病患者中识别心室动脉冲动脉
Francesco Solimene1, Giuseppe Speziale2, Vincenzo Schillaci3
1Clinica Montevergine, Via M. Malzoni 5, 83013, Mercogliano, Avellino, Italy. france.solimene@gmail.com.
概括
该Lumipoint工具有效地识别室内动脉冲动脉 (VT) 脉,使用微分电图与减数导电性质. 这种自动化方法提高了VT基质映射的准确性,有助于制定更好的患者治疗策略.
科学领域:
- 电子生理学 电子生理学
- 心脏病学 心脏病学
- 医疗器械 医疗器械
背景情况:
- 使用电图电压或晚期电位的传统方法来识别心室高心率 (VT) 脉络,具有低的特异性和积极的预测价值.
- 在Rhythmia系统上的Lumipoint工具突出显示分成的电图,无论时间或注释如何,为基质映射提供了一种新的方法.
研究的目的:
- 评估Lumipoint分成工具在从基质地图中快速准确地识别VT峡谷内的区域的有效性.
- 为了确定Lumipoint识别的分数电图与下降导电特性是否与VT峡谷边界相关.
主要方法:
- 30名患有结构性心肌病的患者接受了右心室节奏基底映射和静脉静脉峡重建.
- 用光点识别的区域被分析为它们相对于VT峡谷边界的位置.
- 在Lumipoint照明区域的电图被评估在心室驱动和额外刺激协议期间的下降导电行为.
主要成果:
- 后勤分析显示,具有显著下降行为的Lumipoint识别的分离电图位于VT峡边界内.
- 该Lumipoint工具表现出高性能,灵敏度为87%,特异性为96%,积极预测值为97%,用于识别VT地峡区域.
- 带有分数电图和递减行为的区域显示出相应的1.66和1.57的赔率比,因为它们位于VT峡边界内.
结论:
- 自动化的Lumipoint软件有效地识别了VT峡谷边界,使用具有递减导电性质的分数电图.
- 这种方法提供了高概率 (0.97) 的准确定位,独立于电图的时间,注释,或电压.
- 该Lumipoint工具消除了对主观评估的需求,以识别VT地峡内的缓慢导电区域.
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