Royal Papworth Hospital Foundation Trust, Cambridge University Health Partners, Cambridge, United Kingdom.
Department of Biochemistry, University of Cambridge, Cambridge, United Kingdom.
JCI Insight. 2019 Mar 21;4(6). doi: 10.1172/jci.insight.126422.
Spatial resolution in cardiac activation maps based on voltage measurement is limited by far-field interference. Precise characterization of electrical sources would resolve this limitation; however, practical charge-based cardiac mapping has not been achieved.
A prototype algorithm, developed from first principles of electrostatic field theory, derives charge density (CD) as a spatial representation of the true sources of the cardiac field. The algorithm processes multiple, simultaneous, noncontact voltage measurements within the cardiac chamber to inversely derive the global distribution of CD sources across the endocardial surface.
Comparison of CD to an established computer-simulated model of atrial conduction demonstrated feasibility in terms of spatial, temporal, and morphologic metrics. Inverse reconstruction matched simulation with median spatial errors of 1.73 mm and 2.41 mm for CD and voltage, respectively. Median temporal error was less than 0.96 ms and morphologic correlation was greater than 0.90 for both CD and voltage. Activation patterns observed in human atrial flutter reproduced those established through contact maps, with a 4-fold improvement in resolution noted for CD over voltage. Global activation maps (charge density-based) are reported in atrial fibrillation with confirmed reduction of far-field interference. Arrhythmia cycle-length slowing and termination achieved through ablation of critical points demonstrated in the maps indicates both mechanistic and pathophysiological relevance.
Global maps of cardiac activation based on CD enable classification of conduction patterns and localized nonpulmonary vein therapeutic targets in atrial fibrillation. The measurement capabilities of the approach have roles spanning deep phenotyping to therapeutic application.
ClinicalTrials.gov NCT01875614.
The National Institute for Health Research (NIHR) Translational Research Program at Royal Papworth Hospital and Acutus Medical.
基于电压测量的心脏激活图的空间分辨率受到远场干扰的限制。精确描述电源可以解决这一限制;然而,实用的基于电荷的心脏映射尚未实现。
一种源自静电场理论基本原理的原型算法,将电荷密度 (CD) 作为心脏场真实源的空间表示。该算法处理心脏室内的多个同时非接触电压测量,以反演心内膜表面上 CD 源的全局分布。
CD 与心房传导的既定计算机模拟模型的比较在空间、时间和形态学指标方面证明了可行性。逆重建与模拟匹配,CD 和电压的中位数空间误差分别为 1.73 毫米和 2.41 毫米。中位数时间误差小于 0.96 毫秒,CD 和电压的形态相关性均大于 0.90。观察到的人类心房扑动的激活模式复制了通过接触图建立的模式,CD 的分辨率比电压提高了 4 倍。报告了基于 CD 的心房颤动的全局激活图,并证实了远场干扰的减少。通过消融图中的关键点实现心律失常周期长度减慢和终止表明了该方法具有机制和病理生理学相关性。
基于 CD 的心脏激活全局图能够对传导模式进行分类,并在心房颤动中定位非肺静脉治疗靶点。该方法的测量能力在从深度表型到治疗应用的各个方面都具有作用。
ClinicalTrials.gov NCT01875614。
皇家 Papworth 医院和 Acutus Medical 的英国国家卫生研究院 (NIHR) 转化研究计划。