作者: B. Erem , D. H. Brooks , P. M. van Dam , J. G. Stinstra , R. S. MacLeod
DOI: 10.1109/IEMBS.2011.6091455
关键词: Artificial intelligence 、 Depolarization 、 Computer science 、 Biomedical engineering 、 Electrical conduction system of the heart 、 Pattern recognition 、 Extramural 、 Canine heart 、 Electrocardiography
摘要: Identification of electrical activation or depolarization times on sparsely-sampled complex heart surfaces is importance to clinicians and researchers in cardiac electrophys-iology. We introduce a spatiotemporal approach for time estimation which combines prior results using spatial temporal methods with our own progress gradient triangulated surfaces. Results the method applied simulated canine data suggest that improvements are possible this novel combined approach.