PART I: ANALYSIS OF PROTEIN TYROSINE SULFATION

仅在美国，就有40万例突发性心脏病 每年死于心脏电功能障碍。 的 提供一种非侵入性的空间分布测绘手段 心脏电活动将在预测 心功能不全和指导治疗技术。 这个项目 旨在大大提高非侵入性标测的空间分辨率 心脏电活动的最大值 我们已经开发 一种新的成像技术，已被证明提供高 标测心脏电活动的分辨率。 我们建议 系统地研究分布式 心电活动和体表拉普拉斯标测图， 考虑真实的躯干几何形状。 密集计算 需要使用超级计算设备。 我们希望这个启动器 如果获得批准，我们将可以探讨利用 PSC超级计算机实现上述科学目标， 并帮助患者使用这一重要的成像技术 有心脏猝死的危险 没有其他活动或 这个项目的超级计算机提案

In the United States alone, there are 400,000 sudden cardiac deaths annually resulting from cardiac electrical dysfunction. The availability of a non-invasive means of mapping spatially distributed cardiac electrical activity will play a significant role in predicting cardiac dysfunction and guiding therapeutic techniques. This project aims at greatly enhancing spatial resolution for non-invasive mapping of cardiac electrical activity currently achieved. We have developed a novel imaging technique which has been demonstrated to provide high resolution in mapping cardiac electrical activity. We propose to systematically investigate the relationship between distributed cardiac electrical activity and body surface Laplacian maps when realistic torso geometry is considered. The intensive computation requires the use of supercomputing facilities. We hope this starter grant, if approved, will enable us to explore the feasibility of using the PSC Supercomputer to achieve the aforementioned scientific goals, and help make this important imaging technology available to patients suffered from risks of sudden cardiac deaths. No other active or pending supercomputing proposals for this project.