Evaluating the effect of point-sampling on univariate point and interval forecasting of cerebral physiologic signals using ARIMA modeling in acute traumatic neural injury

High-resolution physiological signals, such as intracranial pressure (ICP) and regional cerebral oxygen saturation (rSO2), are critical for managing traumatic brain injury (TBI) by enabling continuous monitoring of cerebral autoregulation and vascular reactivity. These signals provide essential insi...

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Hlavní autoři:	Nuray Vakitbilir, Kevin Y. Stein, Tobias Bergmann, Noah Silvaggio, Amanjyot Singh Sainbhi, Abrar Islam, Logan Froese, Rakibul Hasan, Mansoor Hayat, Marcel Aries, Frederick A. Zeiler
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2026-03-01
Edice:	Neuroscience Informatics
Témata:	ARIMA Cerebral physiology High frequency signals Time-series analysis Multimodal signal analysis
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S2772528625000639
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