Electrocardiographic Imaging Using a Spatio-Temporal Basis of Body Surface Potentials-Application to Atrial Ectopic Activity.
Electrocardiographic Imaging Using a Spatio-Temporal Basis of Body Surface Potentials-Application to Atrial Ectopic Activity.
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DOI：
10.3389/fphys.2018.01126
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发表时间：
2018
影响因子：
4
通讯作者：
Dössel O
中科院分区：
文献类型：
--
作者：
Schuler S;Wachter A;Dössel O
心电图成像（ECGI）强烈依赖于先验假设和额外的信息来克服不适定性。获得良好的重建的主要挑战在于找到方法来添加信息，有效地限制解决方案空间，而不违反所寻求的解决方案的属性。在这项工作中，我们试图解决这个问题，通过构建一个时空基础的体表电位（BSP）从模拟许多焦点激发。将测量的BSP投影到该基础上，并将重建表示为相应的跨膜电压（TMV）基础向量的线性组合。新的方法被应用到100个心房异位病灶与三种不同的传导速度的模拟。三个信噪比（SNR）和六个不同的时间长度的基础被认为是。使用TMV的空间相关系数以及估计的局部激活时间（LAT）评价重建质量。通过计算真实焦点和重建焦点之间的测地线距离来评估焦点定位误差。与最佳参数化的Tikhonov-Greensite方法相比，BSP基重建将平均TMV相关性分别提高了22，24和32%，SNR分别为40，20和0 dB。对于三种SNR，平均LAT相关性可改善高达5%、7%和19%。对于0 dB，平均定位误差可以减半，从15.8到7.9 mm。对于最大的基础长度，定位误差始终低于34 mm。总之，新方法改善了心房异位活动的重建，特别是对于低SNR。异位病灶的定位变得更加稳健和准确。初步的实验表明，该基础在一定程度上从训练数据中推广，甚至可以应用于非异位活动的重建。
Electrocardiographic imaging (ECGI) strongly relies on a priori assumptions and additional information to overcome ill-posedness. The major challenge of obtaining good reconstructions consists in finding ways to add information that effectively restricts the solution space without violating properties of the sought solution. In this work, we attempt to address this problem by constructing a spatio-temporal basis of body surface potentials (BSP) from simulations of many focal excitations. Measured BSPs are projected onto this basis and reconstructions are expressed as linear combinations of corresponding transmembrane voltage (TMV) basis vectors. The novel method was applied to simulations of 100 atrial ectopic foci with three different conduction velocities. Three signal-to-noise ratios (SNR) and bases of six different temporal lengths were considered. Reconstruction quality was evaluated using the spatial correlation coefficient of TMVs as well as estimated local activation times (LAT). The focus localization error was assessed by computing the geodesic distance between true and reconstructed foci. Compared with an optimally parameterized Tikhonov-Greensite method, the BSP basis reconstruction increased the mean TMV correlation by up to 22, 24, and 32% for an SNR of 40, 20, and 0 dB, respectively. Mean LAT correlation could be improved by up to 5, 7, and 19% for the three SNRs. For 0 dB, the average localization error could be halved from 15.8 to 7.9 mm. For the largest basis length, the localization error was always below 34 mm. In conclusion, the new method improved reconstructions of atrial ectopic activity especially for low SNRs. Localization of ectopic foci turned out to be more robust and more accurate. Preliminary experiments indicate that the basis generalizes to some extent from the training data and may even be applied for reconstruction of non-ectopic activity.
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影响因子：
4
作者：
Godoy EJ;Lozano M;García-Fernández I;Ferrer-Albero A;MacLeod R;Saiz J;Sebastian R
通讯作者：
Sebastian R
影响因子：
4.1
作者：
OOSTENDORP, TF;VANOOSTEROM, A;HUISKAMP, G
通讯作者：
HUISKAMP, G
影响因子：
4.6
作者：
Potyagaylo, Danila;Doessel, Olaf;van Dam, Peter
通讯作者：
van Dam, Peter
影响因子：
4.6
作者：
Wang, Linwei;Zhang, Heye;Shi, Pengcheng
通讯作者：
Shi, Pengcheng
影响因子：
3.2
作者：
Potyagaylo, Danila;Cortes, Elisenda Gil;Doessel, Olaf
通讯作者：
Doessel, Olaf