Meel-van den Abeelen Aisha S S, de Jong Daan L K, Lagro Joep, Panerai Ronney B, Claassen Jurgen A H R
Radboud University Medical Centre, Donders institute for Brain Cognition and Behaviour, Radboud Alzheimer Centre, and Department of Geriatric Medicine, Reinier Postlaan 4, 6525 GC, Nijmegen, the Netherlands.
Radboud University Medical Centre, Donders institute for Brain Cognition and Behaviour, Radboud Alzheimer Centre, and Department of Geriatric Medicine, Reinier Postlaan 4, 6525 GC, Nijmegen, the Netherlands; University of Twente, MIRA institute for Biomedical Technology and Technical Medicine, Enschede, the Netherlands.
Med Eng Phys. 2016 May;38(5):490-7. doi: 10.1016/j.medengphy.2016.02.001. Epub 2016 Feb 28.
Cerebral autoregulation (CA) is the mechanism that aims to maintain adequate cerebral perfusion during changes in blood pressure (BP). Transfer function analysis (TFA), the most reported method in literature to quantify CA, shows large between-study variability in outcomes. The aim of this study is to investigate the role of measurement artifacts in this variation. Specifically, the role of distortion in the BP and/or CBFV measurementon TFA outcomes was investigated. The influence of three types of artifacts on TFA outcomes was studied: loss of signal, motion artifacts, and baseline drifts. TFA metrics of signals without the simulated artifacts were compared with those of signals with artifacts. TFA outcomes scattered highly when more than 10% of BP signal or over 8% of the CBFV signal was lost, or when measurements contained one or more artifacts resulting from head movement. Furthermore, baseline drift affected interpretation of TFA outcomes when the power in the BP signal was 5 times the power in the LF band. In conclusion, loss of signal in BP and loss in CBFV, affects interpretation of TFA outcomes. Therefore, it is vital to validate signal quality to the defined standards before interpreting TFA outcomes.
脑自动调节（CA）是一种旨在在血压（BP）变化期间维持充足脑灌注的机制。传递函数分析（TFA）是文献中报道最多的量化CA的方法，其结果在不同研究之间存在很大差异。本研究的目的是调查测量伪影在这种差异中的作用。具体而言，研究了血压和/或脑血流速度（CBFV）测量中的失真对TFA结果的作用。研究了三种类型的伪影对TFA结果的影响：信号丢失、运动伪影和基线漂移。将无模拟伪影信号的TFA指标与有伪影信号的TFA指标进行比较。当超过10%的血压信号或超过8%的CBFV信号丢失，或者测量包含一个或多个由头部运动产生的伪影时，TFA结果高度分散。此外，当血压信号中的功率是低频带中功率的5倍时，基线漂移会影响TFA结果的解释。总之，血压信号丢失和CBFV丢失会影响TFA结果的解释。因此，在解释TFA结果之前，根据定义的标准验证信号质量至关重要。
