How measurement artifacts affect cerebral autoregulation outcomes: A technical note on transfer function analysis
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- 作者：Aisha S.S. Meel-van den Abeelena ; 1 ; Daan L.K. de Jonga ; c ; 1 ; Joep Lagroa ; Ronney B. Paneraib ; Jurgen A.H.R. Claassena ; Jurgen.Claassen@radboudumc.nl" class="auth_mail" title="E-mail the corresponding author ; j.claassen@ger.umcn.nl" class="auth_mail" title="E-mail the corresponding author
- 关键词：Cerebral autoregulation ; Transfer function analysis ; Signal-to-noise ratio
- 刊名：Medical Engineering & Physics
- 出版年：2016
- 出版时间：May 2016
- 年：2016
- 卷：38
- 期：5
- 页码：490-497
- 全文大小：1408 K
文摘
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Outcomes for cerebral autoregulation, defined with transfer function analysis, depend highly on transcranial Doppler signal quality.
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Data loss and motion artifacts, even for a short moment, influences cerebral autoregulatory outcomes considerably.
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Data should meet the criteria as proposed in this article to ensure adequate outcomes for the cerebral autoregulatory performance.