Robust Parameter Estimation in the Detection of Cardiac Arrhythmias

本研究关注的是提高植入式和便携式心脏复律和除颤设备所采用的参数估计方案的效率和鲁棒性。 该研究的目标是取代ad-hoc估计方案中使用的强大的估计器，产生最佳的最小方差估计范围广泛的未知误差分布，并保持接近最佳性能的参数波动的存在下，在本代设备。 这些目标是通过估计方案来实现的，该方案基于对数据的顺序统计（OS）操作的应用。

This research is concerned with improving the efficiency and robustness of parameter estimation schemes employed by implantable and portable devices for cardioversion and defibrillation. The goal of the research is to replace the ad-hoc estimation schemes used in present generation devices by robust estimators that produce optimal minimum variance estimates for a wide range of unknown error distributions, and which maintain close-to-optimal performance in the presence of parameter fluctuations. These objectives are pursued through estimation schemes that are based on the application of Order Statistic (OS) operations to the data.