Robust Parameter Estimation in the Detection of Cardiac Arrhythmias

心律失常检测中的稳健参数估计

• 批准号: 9220769
• 负责人: Peter Clarkson
• 金额: --
• 依托单位: Ohio State University Research Foundation -DO NOT USE
• 依托单位国家: 美国
• 项目类别: Continuing grant
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-02-01 至 1998-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9220769&HistoricalAwards=false
• 关键词: Robust; Parameter; Estimation; Detection; Cardiac

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.

这项研究涉及提高用于心脏复律和除颤的植入式和便携式设备所采用的参数估计方案的效率和鲁棒性。 该研究的目标是用稳健的估计器取代当前一代设备中使用的临时估计方案，该估计器可以为各种未知的误差分布生成最佳的最小方差估计，并且在存在参数波动的情况下保持接近最佳的性能。 这些目标是通过基于对数据应用阶次统计 (OS) 操作的估计方案来实现的。