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Intracranial pressure analysis software: A mapping study and proposal.

Juanjo Pérez-Sánchez1, Juan M Carrillo de Gea1, Sandra Rodríguez Barceló2

  • 1Department of Informatics and Systems, Faculty of Computer Science, University of Murcia, Murcia, Spain.

Computer Methods and Programs in Biomedicine
|August 27, 2021
PubMed
Summary
This summary is machine-generated.

This study reviews automated intracranial pressure (ICP) analysis methods, identifying research gaps and proposing a new software prototype for reliable A-wave detection in ICP waveforms.

Keywords:
ICPICP Automated analyisisICP MonitoringIntracranial pressureMapping study,

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Area of Science:

  • Biomedical Engineering
  • Medical Informatics
  • Neurology

Background:

  • Intracranial pressure (ICP) monitoring is crucial for millions of patients annually.
  • Detecting ICP waveform patterns like A and B-waves can indicate decreased intracranial compliance and improve outcomes.
  • Current visual screening of ICP data remains prevalent despite advances in computerized analysis.

Purpose of the Study:

  • To systematically map the state-of-the-art in automated ICP analysis.
  • To identify research gaps and trends in computational ICP analysis.
  • To propose and evaluate a novel ICP analysis software prototype.

Main Methods:

  • A systematic mapping study of 23 selected papers (1990-2020) from 6 databases.
  • Analysis of publication trends, medical tasks, research methods, computational systems, and validation techniques.
  • Development and evaluation of an ICP software prototype for automated analysis.

Main Results:

  • Diagnosis and monitoring were equally addressed medical tasks; evaluation research was the primary method.
  • Image classification was a common computational system; single pulse analysis was the main objective.
  • Correlation with expert analysis was the frequent validation method; few used published datasets or specified tools.

Conclusions:

  • Identified research gaps in automated ICP analysis, highlighting the need for new methods and empirical comparisons.
  • Emphasized the necessity for standard metrics and in-depth systematic literature reviews.
  • The developed ICP software prototype demonstrated reliable A-wave detection capabilities.