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Real\u2010time CA monitoring can predict and thereby help prevent postoperative complications for neurosurgery patients, especially those suffering from moyamoya disease (MMD). We applied the concept of moving average to the correlation between mean arterial blood pressure (MBP) and cerebral oxygen saturation (S<jats:sub>C<\/jats:sub>O<jats:sub>2<\/jats:sub>) to monitor CA in real time, revealing optimal window size for the moving average. The experiment was conducted with 68 surgical vital\u2010sign records containing MBP and S<jats:sub>C<\/jats:sub>O<jats:sub>2<\/jats:sub>. To evaluate CA, the cerebral oximetry index (COx) and coherence obtained from transfer function analysis (TFA) were calculated and compared between patients with postoperative infarction and those who without. For real\u2010time monitoring, the moving average was applied to COx and coherence to determine the differences between groups, and the optimal moving\u2010average window size was identified. The average COx and coherence within the very\u2010low\u2010frequency (VLF) range (0.02\u20100.07\u2009Hz) during the entire surgery were significantly different between the groups (COx: AUROC = 0.78, <jats:italic>p<\/jats:italic> = 0.003; coherence: AUROC = 0.69, <jats:italic>p<\/jats:italic> = 0.029). For the case of real\u2010time monitoring, COx showed a reasonable performance (AUROC &gt; 0.74) with moving\u2010average window sizes larger than 30 minutes. Coherence showed an AUROC &gt; 0.7 for time windows of up to 60 minutes; however, for windows larger than this threshold, the performance became unstable. With an appropriate window size, COx showed stable performance as a predictor of postoperative infarction in MMD patients.<\/jats:p>","DOI":"10.1155\/2022\/3091660","type":"journal-article","created":{"date-parts":[[2022,8,21]],"date-time":"2022-08-21T20:35:09Z","timestamp":1661114109000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Real\u2010Time Evaluation of Cerebral Autoregulation Based on Near\u2010Infrared Spectroscopy to Predict Clinical Outcome after Bypass Surgery in Moyamoya 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