Department of Electronic Engineering, Maynooth University, Maynooth, Co. Kildare, Ireland.
Department of Aero, Mechanical and Electronic Engineering, South East Technological University, Waterford, Co. Carlow, Ireland.
Phys Eng Sci Med. 2024 Jun;47(2):503-516. doi: 10.1007/s13246-023-01380-y. Epub 2024 Apr 2.
In the absence of a true gold standard for non-invasive baroreflex sensitivity estimation, it is difficult to quantify the accuracy of the variety of techniques used. A popular family of methods, usually entitled 'sequence methods' involves the extraction of (apparently) correlated sequences from blood pressure and RR-interval data and the subsequent fitting of a regression line to the data. This paper discusses the accuracy of sequence methods from a system identification perspective, using both data generated from a known mathematical model and spontaneous baroreflex data. It is shown that sequence methods can introduce significant bias in the baroreflex sensitivity estimate, even when great care is taken in sequence selection.
在缺乏真正的无创血压反射敏感性评估金标准的情况下，很难量化各种使用技术的准确性。一类常用的方法，通常被称为“序列方法”，涉及从血压和 RR 间期数据中提取（似乎）相关序列，然后对数据拟合回归线。本文从系统辨识的角度讨论了序列方法的准确性，同时使用了来自已知数学模型和自发性血压反射数据。结果表明，即使在序列选择方面非常谨慎，序列方法也会给血压反射敏感性估计带来显著偏差。
