Erem Burak, Brooks Dana H, van Dam Peter M, Stinstra Jeroen G, MacLeod Rob S
Comm. and Digital Signal Proc Center, Electrical & Computer Eng Dept, Northeastern Univ, Boston, MA,
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:5884-7. doi: 10.1109/IEMBS.2011.6091455.
Identification of electrical activation or depolarization times on sparsely-sampled complex heart surfaces is of importance to clinicians and researchers in cardiac electrophysiology. We introduce a spatiotemporal approach for activation time estimation which combines prior results using spatial and temporal methods with our own progress on gradient estimation on triangulated surfaces. Results of the method applied to simulated and canine heart data suggest that improvements are possible using this novel combined approach.
在稀疏采样的复杂心脏表面识别电激活或去极化时间，对心脏电生理学领域的临床医生和研究人员而言至关重要。我们引入了一种用于激活时间估计的时空方法，该方法将使用空间和时间方法的先前结果与我们在三角剖分表面梯度估计方面取得的进展相结合。将该方法应用于模拟和犬类心脏数据的结果表明，使用这种新颖的组合方法有可能实现改进。
