Novel Mapping Algorithms for Atrial Fiberillation

心房纤维化的新型映射算法

• 批准号: 6949982
• 负责人: Spencer J Melby
• 金额: $ 4.99万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-01 至 2006-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6949982
• 关键词: atrial fibrillation; atrium; clinical research; dogs; epicardial mapping; heart surgery; human subject; infrared spectrometry; interferometry; mathematical model; myocardial ischemia /hypoxia; postdoctoral investigator

DESCRIPTION (provided by applicant): The present surgical treatment for AF involves creating a myriad of incisions in the atrium to block the multiple macroreentrant circuits that were once thought to be the underlying mechanism. However, recently it has been shown that AF is often maintained by a single or small number of spatially stable focal sources. Unfortunately, present technologies of epicardial mapping are time-consuming and do not allow for a map-guided approach for surgical treatment. We propose to develop an algorithm to identify these unique substrates of AF in real time. Using information in a database of prior AF recordings, we will first evaluate AF using the Short Time Fourier transform, which allows rapid three-dimensional representation of a dominant frequency. The development of this algorithm will allow for a better understanding of the mechanisms of AF. After development of the algorithm, we will demonstrate the ability to map in real-time using a canine model of atrial fibrillation. We will next record data from human patients, and compare real-time analysis with off-line analysis to ensure accuracy (wave analysis will be weighed against the more time-consuming traditional manual editing technique). Finally, use of this real-time algorithm and the understanding gained of AF will allow for the development of a novel surgical approach using map-directed treatment.

描述（由申请人提供）：当前的AF手术治疗涉及在中庭中创建无数的切口，以阻止曾经被认为是基础机制的多个大型电路。但是，最近已经证明，AF通常由单个或少数在空间稳定的焦点来源维持。不幸的是，心外膜映射的当前技术是耗时的，不允许采用MAP引导的手术治疗方法。我们建议开发一种算法，以实时识别AF的这些独特的底物。使用先前AF记录的数据库中的信息，我们将使用短时间傅立叶变换首先评估AF，这允许快速的三维表示主要频率。该算法的开发将使人们更好地了解AF的机制。在开发算法之后，我们将展示使用房颤犬模型实时绘制的能力。我们接下来将记录来自人类患者的数据，并将实时分析与离线分析进行比较以确保准确性（将权能分析与更耗时的传统手动编辑技术进行权衡）。最后，使用这种实时算法以及对AF的理解将允许使用MAP定向处理来开发一种新型的手术方法。

项目成果

Surgical treatment of atrial fibrillation with bipolar radiofrequency ablation: mid-term results in one hundred consecutive patients.

双极射频消融术治疗房颤：一百名连续患者的中期结果。

• 发表时间: 2006
• 期刊: The Journal of cardiovascular surgery
• 作者: Melby,SJ;Kaiser,SP;Bailey,MS;Zierer,A;Voeller,RK;Lall,SC;Munfakh,N;Moon,MR;DamianoJr,RJ
• 通讯作者: DamianoJr,RJ