2020
DOI: 10.3389/fneur.2020.00959
|View full text |Cite
|
Sign up to set email alerts
|

Intracranial Pressure Monitoring Signals After Traumatic Brain Injury: A Narrative Overview and Conceptual Data Science Framework

Abstract: Continuous intracranial pressure (ICP) monitoring is a cornerstone of neurocritical care after severe brain injuries such as traumatic brain injury and acts as a biomarker of secondary brain injury. With the rapid development of artificial intelligent (AI) approaches to data analysis, the acquisition, storage, real-time analysis, and interpretation of physiological signal data can bring insights to the field of neurocritical care bioinformatics. We review the existing literature on the quantification and analy… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
28
0
2

Year Published

2021
2021
2024
2024

Publication Types

Select...
6
1
1

Relationship

0
8

Authors

Journals

citations
Cited by 23 publications
(30 citation statements)
references
References 93 publications
0
28
0
2
Order By: Relevance
“…Previous studies have focused either on the extraction of indexes or ICP areas under curve calculations to obtain measures of ICC [10]. Unfortunately, the applicability of ICP waveform-derived information to date is mostly restricted because of the need for specialized hardware and software, making these observations and findings less present in daily practice.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Previous studies have focused either on the extraction of indexes or ICP areas under curve calculations to obtain measures of ICC [10]. Unfortunately, the applicability of ICP waveform-derived information to date is mostly restricted because of the need for specialized hardware and software, making these observations and findings less present in daily practice.…”
Section: Discussionmentioning
confidence: 99%
“…Likewise, in recent years the knowledge on the ICP pulse waveform (ICPW) has advanced, as well as its clinical application. ICPW is an early marker of ICC impairment [3,[7][8][9] and is mainly represented by three distinct peaks: P1 (percussion wave), P2 (tidal wave) and P3 (dicrotic wave) [10]. Under physiologic conditions, P1 produced by arterial contraction is the highest peak observed, with P2 reflecting both vascular and ventricular repercussion of pressure pulse spread.…”
Section: Introductionmentioning
confidence: 99%
“…Previous studies have focused either on the extraction of indexes or ICP areas under curves calculations to obtain measures of ICC [10]. To our knowledge, this is the first study on the relations of ICP peaks observing the P2/P1 ratio, time-to-peak and amplitudes variations among neurocritical patients with a slight provoked ICP elevation.…”
Section: Discussionmentioning
confidence: 96%
“…Likewise, in recent years the knowledge on the ICP pulse waveform (ICPPW) has advanced, as well as its clinical application. ICPPW is an early marker of ICC impairment [3,[7][8][9] and is mainly represented by three distinct peaks, P1 (percussion wave), P2 (tidal wave) and P3 (dicrotic wave) [10].…”
Section: Recently the International Multidisciplinary Consensus Conference On Multimodalitymentioning
confidence: 99%
“…In this sense, it is a more flexible model than e.g., standard autoregressive time series models or even traditional neural network models, where raw observations are generally used as predictors. Time and frequency domain features and use of waveforms can reveal complex dependencies which may be valuable for the prediction task 27 . Use of such features in our general model is straightforward.…”
Section: Discussionmentioning
confidence: 99%