Neurocritical Care
Sara Turella, Erta Beqiri, Stefan Yu Bögli, Bogdan Ianosi, Ihsane Olakorede, Tommaso Zoerle, Jeanette Tas, Raimund Helbok, Peter Smielewski, the Smart Neuromonitoring to Support Precision Medicine in Acute Central Nervous Injury (SOPRANI) collaborators and the CENTER-TBI High-Resolution Sub-Study Participants and Investigators, Audny Anke, Ronny Beer, Bo-Michael Bellander, David Nelson, Andras Buki, Giorgio Chevallard, Arturo Chieregato, Giuseppe Citerio, Endre Czeiter, Bart Depreitere, George Eapen, Shirin Frisvold, Stefan Jankowski, Daniel Kondziella, Lars-Owe Koskinen, Geert Meyfroidt, Kirsten Moeller, Anna Piippo-Karjalainen, Rahul Raj, Andreea Radoi, Juan Sahuquillo, Arminas Ragauskas, Saulius Rocka, Jonathan Rhodes, Rolf Rossaint, Ana Stevanovic, Oliver Sakowitz, Nina Sundström, Riikka Takala, Tomas Tamosuitis
Abstract Background/Objective High-resolution neuromonitoring data with time-stamped clinical annotations offer valuable insights into treatment responses, though reliability is limited by manual documentation. This study aims to develop and demonstrate a three-step methodological framework to evaluate the plausibility of time-stamped clinical annotations using a high-frequency dataset. The framework integrates visual inspection of reference annotations and automated classification based on predefined physiological …