Interpretation of Approximate Entropy: Analysis of Intracranial Pressure Approximate Entropy During Acute Intracranial Hypertension
Copyright policy )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 < or = 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.
- Oregon Health & Science University United States
- University of Surrey United Kingdom
- Portland State University United States
- Oregon Institute of Technology United States
- University of Valladolid Spain
Male, Technology, Biomedical, Adolescent, Intracranial Pressure, approximate entropy, Entropy, IRREGULARITY, TIME-SERIES, HEART-RATE, sample entropy, Models, Biological, Sensitivity and Specificity, Engineering, PULSATILITY, Artificial Intelligence, REGULARITY, Humans, Computer Simulation, Diagnosis, Computer-Assisted, Child, traumatic brain injury (TBI), Science & Technology, COMPLEXITY, Reproducibility of Results, QUANTIFICATION, complex analysis, ARTERIAL PULSE PRESSURE, intracranial hypertension, Brain Injuries, Child, Preschool, intracranial pressure irregularity, Female, NEURAL-NETWORKS, Intracranial Hypertension, RESPIRATORY CHANGES, Algorithms
Male, Technology, Biomedical, Adolescent, Intracranial Pressure, approximate entropy, Entropy, IRREGULARITY, TIME-SERIES, HEART-RATE, sample entropy, Models, Biological, Sensitivity and Specificity, Engineering, PULSATILITY, Artificial Intelligence, REGULARITY, Humans, Computer Simulation, Diagnosis, Computer-Assisted, Child, traumatic brain injury (TBI), Science & Technology, COMPLEXITY, Reproducibility of Results, QUANTIFICATION, complex analysis, ARTERIAL PULSE PRESSURE, intracranial hypertension, Brain Injuries, Child, Preschool, intracranial pressure irregularity, Female, NEURAL-NETWORKS, Intracranial Hypertension, RESPIRATORY CHANGES, Algorithms
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