Robust Parameter Estimation in the Detection of Cardiac Arrhythmias

这项研究致力于提高植入式和便携式设备用于心律转复和除颤的参数估计方案的效率和稳健性。这项研究的目标是用稳健估计器取代当前生成设备中使用的自组织估计方案，该稳健估计器为广泛的未知误差分布产生最优的最小方差估计，并且在存在参数波动的情况下保持接近最优的性能。这些目标是通过基于对数据应用顺序统计量(OS)运算的估计方案来实现的。

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.