一种新的自动化峰值频率注释算法,用于识别减速区和心室动脉冲动脉切除位点
Joshua E Payne1, Christopher Woods2, Mohamed B Elshazly1
1Division of Cardiology, Medical University of South Carolina, Charleston, South Carolina.
Heart rhythm
|October 18, 2023
概括
一个新的峰值频率 (PF) 软件在电解剖绘图 (EAM) 过程中自动检测心脏异常信号,提高了心室动脉冲动脉切除的准确性. 该工具可以识别分成的信号,并预测减速区,从而改善患者的治疗结果.
科学领域:
- 电子生理学 电子生理学
- 通过心脏切除术 (Cardiac Ablation) 进行心脏切除.
- 医疗设备软件 医疗设备软件
背景情况:
- 在心室电解剖绘图 (EAM) 中手动注释分成信号容易发生变化和错误.
- 准确识别异常的电活动对于成功的腹腔动脉动脉 (VT) 切除至关重要.
研究的目的:
- 评估新的峰值频率 (PF) 标注软件,用于自动检测晚期潜力 (LPs) 和局部异常心室活动 (LAVA).
- 确定PF的最佳显示范围,并评估其对同时晚期激活映射 (ILAM) 的影响.
- 验证PF作为静脉除目标部位的预测指标,特别是减速区 (DZs).
主要方法:
- 从25名静脉管切除患者的EMM数据的回顾性分析.
- 从各种电压区域采集电图PF的样本,包括分数信号.
- 将最佳的PF显示范围应用于10名患者的潜在队列.
主要成果:
- 一个220Hz的切断标识了分成的区域,灵敏度为91%,特异性为85%.
- 在9名10名潜在患者中,PF准确地预测了分成区和DZ.
- 没有观察到目标DZ表面积的显著减少,与DZs一致的同地化.
结论:
- 一个峰值频率 (PF) 标注算法,具有220 Hz的切断值,可以准确地识别分数信号.
- 这个PF算法可靠地预测在同时晚期激活映射 (ILAM) 期间的减速区 (DZs).
- 该软件提高了室内动脉动脉切除的目标识别的精度.
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