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Article
Forewarning of hypotensive events using a Bayesian artificial neural network in neurocritical care
Traumatically brain injured (TBI) patients are at risk from secondary insults. Arterial hypotension, critically low blood pressure, is one of the most dangerous secondary insults and is related to poor outcome...
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Chapter and Conference Paper
Visualizing Cerebrovascular Autoregulation Insults and Their Association with Outcome in Adult and Paediatric Traumatic Brain Injury
Objective: The aim of this study is to assess visually the impact of duration and intensity of cerebrovascular autoregulation insults on 6-month neurological outcome in severe traumatic brain injury.
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Chapter and Conference Paper
Cerebral Perfusion Pressure Variability Between Patients and Between Centres
Introduction: The aim of this analysis was to investigate to what extent median cerebral perfusion pressure (CPP) differs between severe traumatic brain injury (TBI) patients and between centres, and whether the...
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Chapter
Artefact in Physiological Data Collected from Patients with Brain Injury: Quantifying the Problem and Providing a Solution Using a Factorial Switching Linear Dynamical Systems Approach
Introduction: High-resolution, artefact-free and accurately annotated physiological data are desirable in patients with brain injury both to inform clinical decision-making and for intelligent analysis of the da...
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Article
Visualizing the pressure and time burden of intracranial hypertension in adult and paediatric traumatic brain injury
To assess the impact of the duration and intensity of episodes of increased intracranial pressure on 6-month neurological outcome in adult and paediatric traumatic brain injury.
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Chapter
Trigger Characteristics of EUSIG-Defined Hypotensive Events
Background: Hypotension is a recognized secondary insult after traumatic brain injury (TBI). There are many definitions of hypotension, an often cited example being the Brain Trauma Foundation’s c...
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Chapter
Early Warning of EUSIG-Defined Hypotensive Events Using a Bayesian Artificial Neural Network
Background: Hypotension is recognized as a potentially damaging secondary insult after traumatic brain injury. Systems to give clinical teams some early warning of likely hypotensive instability co...
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Article
The brain monitoring with Information Technology (BrainIT) collaborative network: EC feasibility study results and future direction
The BrainIT group works collaboratively on develo** standards for collection and analyses of data from brain-injured patients and to facilitate a more efficient infrastructure for assessing new health care t...
