Multivariate Modelling and Prediction of High-Frequency Sensor-Based Cerebral Physiologic Signals: Narrative Review of Machine Learning Methodologies

Multivariate Modelling and Prediction of High-Frequency Sensor-Based Cerebral Physiologic Signals: Narrative Review of Machine Learning Methodologies

Monitoring cerebral oxygenation and metabolism, using a combination of invasive and non-invasive sensors, is vital due to frequent disruptions in hemodynamic regulation across various diseases. These sensors generate continuous high-frequency data streams, including intracranial pressure (ICP) and c...

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Bibliographic Details
Main Authors: Nuray Vakitbilir, Abrar Islam, Alwyn Gomez, Kevin Y. Stein, Logan Froese, Tobias Bergmann, Amanjyot Singh Sainbhi, Davis McClarty, Rahul Raj, Frederick A. Zeiler
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Sensors
Subjects:
cerebral physiologic signals
computational models of cerebral physiology
high-dimensional cerebral data analysis
multivariate machine learning models
Online Access:https://www.mdpi.com/1424-8220/24/24/8148
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