Noack Frank, Christ Melanie, May Sven-Axel, Steinmeier Ralf, Morgenstern Ute
Institute of Biomedical Engineering, Dresden University of Technology, Dresden, Germany.
Biomed Tech (Berl). 2007 Feb;52(1):31-6. doi: 10.1515/BMT.2007.007.
Cerebral autoregulation (CA) is a control mechanism that adjusts cerebral vasomotor tone in response to changes in arterial blood pressure (ABP) to ensure a nearly constant cerebral blood flow. Patient treatment could be optimized if CA monitoring were possible. Whereas the concept of static CA assessment is simply based on comparison of mean values obtained from two stationary states (e.g., before and after a pressure change), the evaluation of dynamic CA is more complex. Among other methods, moving cross-correlation analysis of slow waves in ABP and cerebral blood flow velocity (CBFV) seems to be appropriate to monitor CA quasi-continuously. The calculation of an "instantaneous transfer function" between ABP and CBFV oscillations in the low-frequency band using the Wigner-Ville distribution may represent an acceptable compromise in time-frequency resolution for continuous CA monitoring.
脑自动调节（CA）是一种控制机制，可根据动脉血压（ABP）的变化调整脑血管运动张力，以确保脑血流量几乎恒定。如果能够进行CA监测，患者的治疗可能会得到优化。静态CA评估的概念仅仅基于从两个静止状态（例如，压力变化前后）获得的平均值的比较，而动态CA的评估则更为复杂。在其他方法中，对ABP中的慢波和脑血流速度（CBFV）进行移动互相关分析似乎适合于准连续监测CA。使用维格纳-威利分布计算低频带中ABP和CBFV振荡之间的“瞬时传递函数”，可能是连续CA监测在时频分辨率方面可接受的折衷方案。
