Department of Biomedical Engineering, Linköping University, Sweden; Perimed AB, Datavägen 9A, Järfälla, Stockholm, Sweden.
Primary Health Care Center, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
Microvasc Res. 2024 Sep;155:104715. doi: 10.1016/j.mvr.2024.104715. Epub 2024 Jul 14.
Flowmotion analysis of the microcirculatory blood flow is a method to extract information about the vessel regulatory function. It has previously shown promise when applied to measurements during a post-occlusive reactive hyperemia. However, the reperfusion peak and the following monotonic decline introduces false low frequencies that should not be interpreted as rhythmic vasomotion effect.
To develop and validate a robust method for flowmotion analysis of post-occlusive reactive hyperemia signals.
The occlusion-induced reperfusion response contains a typical rapid increase followed by a monotonic decline to baseline. A mathematical model is proposed to detrend this transient part of the signal to enable further flowmotion analysis. The model is validated in 96 measurements on healthy volunteers.
Applying the proposed model corrects the flowmotion signal without adding any substantial new false flowmotion components.
Future studies should use the proposed method or equivalent when analyzing flowmotion during post-occlusive reactive hyperemia to ensure valid results.
微血流的流动分析是一种提取血管调节功能信息的方法。它在应用于闭塞后反应性充血期间的测量时显示出了很大的潜力。然而，再灌注峰值和随后的单调下降会引入虚假的低频，不应将其解释为有节奏的血管运动效应。
开发和验证一种用于闭塞后反应性充血信号的流动分析的稳健方法。
闭塞引起的再灌注反应包含一个典型的快速增加，随后是单调下降到基线。提出了一种数学模型来使信号的瞬态部分去趋势，以便进一步进行流动分析。该模型在 96 名健康志愿者的测量中得到了验证。
应用所提出的模型可以纠正流动信号，而不会添加任何实质性的新的虚假流动成分。
未来的研究在分析闭塞后反应性充血期间的流动时，应使用所提出的方法或等效方法，以确保结果有效。
