Interpretation of approximate entropy: analysis of intracranial pressure approximate entropy during acute intracranial hypertension

We studied changes in intracranial pressure (ICP) complexity, estimated by the approximate entropy (ApEn) of the ICP signal, as subjects progressed from a state of normal ICP (25 mmHg for /spl les/ 5 min). We hypothesized that the measures of intracranial pressure (ICP) complexity and irregularity w...

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Bibliographic Details
Published in:IEEE transactions on biomedical engineering 2005-10, Vol.52 (10), p.1671-1680
Main Authors: Hornero, R., Aboy, M., Abasolo, D., McNames, J., Goldstein, B.
Format: Article
Language:English
Subjects:
Adolescent
Algorithms
Approximate entropy
Artificial Intelligence
Biomedical measurements
Biomedical signal processing
Brain injuries
Brain Injuries - complications
Brain Injuries - diagnosis
Brain Injuries - physiopathology
Child
Child, Preschool
complex analysis
Computer Simulation
Cranial pressure
Diagnosis, Computer-Assisted - methods
Entropy
Female
Humans
Hypertension
intracranial hypertension
Intracranial Hypertension - complications
Intracranial Hypertension - etiology
Intracranial Hypertension - physiopathology
Intracranial Pressure
intracranial pressure irregularity
Laboratories
Male
Models, Biological
Probability
Reproducibility of Results
sample entropy
Sensitivity and Specificity
Signal analysis
Time series analysis
traumatic brain injury (TBI)
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Summary:We studied changes in intracranial pressure (ICP) complexity, estimated by the approximate entropy (ApEn) of the ICP signal, as subjects progressed from a state of normal ICP (25 mmHg for /spl les/ 5 min). We hypothesized that the measures of intracranial pressure (ICP) complexity and irregularity would decrease during acute elevations in ICP. To test this hypothesis we studied ICP spikes in pediatric subjects with severe traumatic brain injury (TBI). We conclude that decreased complexity of ICP coincides with episodes of intracranial hypertension (ICH) in TBI. This suggests that the complex regulatory mechanisms that govern intracranial pressure are disrupted during acute rises in ICP. Furthermore, we carried out a series of experiments where ApEn was used to analyze synthetic signals of different characteristics with the objective of gaining a better understanding of ApEn itself, especially its interpretation in biomedical signal analysis.
ISSN:0018-9294
1558-2531
DOI:10.1109/TBME.2005.855722