Signal Processing with Realistic Constraints for the InverseProblem of Electrocardiography

9309359布鲁克斯该研究启动奖的目标是开发改进的方法，从躯干表面的非侵入性测量中提取关于心脏电活动的最大信息。时间域和频域表征都将被用来为精确的逆解开发现实的约束。这项研究很重要，因为它有可能大幅提高心血管疾病的非侵入性诊断。该研究还可应用于解决其他病态领域的其他逆问题。***

9309359 Brooks The objective of this Research Initiation Award is to develop improved methods to extract maximal information about cardiac electrical activity from non-invasive measurements on the torso surface. Both time-domain and frequency domain characterizations will be used to develop realistic constraints for a refined inverse solution. This research is important since it has the potential to substantially improve noninvasive diagnosis of cardiovascular disease. The research may also have applications in solving other inverse problems in other areas that are ill- conditioned. ***