Nuray Vakitbilir, Logan Froese, Alwyn Gomez, Amanjyot Singh Sainbhi, Kevin Y Stein, Abrar Islam, Tobias J G Bergmann, Izabella Marquez, Fiorella Amenta, Younis Ibrahim, Frederick A Zeiler
The modeling and forecasting of cerebral pressure-flow dynamics in the time-frequency domain have promising implications for veterinary and human life sciences research, enhancing clinical care by predicting cerebral blood flow (CBF)/perfusion, nutrient delivery, and intracranial pressure (ICP)/compliance behavior in advance. Despite its potential, the literature lacks coherence regarding the optimal model type, structure, data streams, and performance. This systematic scoping review comprehensively examines the current landscape of cerebral physiological time-series modeling and forecasting...
February 23, 2024: Sensors