Publications by authors named "Fernando Pose"
Intracranial hypertension (ICH) is a common and critical condition in neurocritical care, often requiring immediate intervention. Current methods for continuous intracranial pressure (ICP) monitoring are invasive and costly, limiting their use in resource-limited settings. This study investigates the potential of the electroencephalography (EEG) as a non-invasive alternative for ICP monitoring.
View Article and Find Full Text PDFPurpose: This study aims to describe the total EEG energy during episodes of intracranial hypertension (IH) and evaluate its potential as a classification feature for IH.
New Methods: We computed the sample correlation coefficient between intracranial pressure (ICP) and the total EEG energy. Additionally, a generalized additive model was employed to assess the relationship between arterial blood pressure (ABP), total EEG energy, and the odds of IH.
Article Synopsis
- This study investigates the potential of using electroencephalography (EEG) to create a real-time, noninvasive way to measure intracranial pressure (ICP) as opposed to traditional invasive methods.* -
- Researchers conducted experiments on a porcine model of intracranial hypertension, analyzing the relationship between ICP and the slope of the EEG power spectral density, quantified by the ϕ angle.* -
- Results show a strong correlation between the ϕ angle and ICP levels, suggesting that EEG ϕ angle could be a reliable indicator for monitoring ICP and cerebral perfusion in real time.*
Intracranial pressure (ICP) monitoring is commonly used in the follow-up of patients in intensive care units, but only a small part of the information available in the ICP time series is exploited. One of the most important features to guide patient follow-up and treatment is intracranial compliance. We propose using permutation entropy (PE) as a method to extract non-obvious information from the ICP curve.
View Article and Find Full Text PDFBackground: Intracranial hypertension (HI) is associated with worse neurological outcomes and higher mortality. Although there are several experimental models of HI, in this article we present a reproducible, reversible, and reliable model of intracranial hypertension, with continuous multimodal monitoring.
New Method: A reversible intracranial hypertension model in swine with multimodal monitoring including intracranial pressure, arterial blood pressure, heart rate variation, brain tissue oxygenation, and electroencephalogram is developed to understand the relationship of ICP and EEG.