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March 6, 2026IEEE Transactions on Biomedical Engineering0 citations

ICP-WAVES: Intracranial Pressure Waveform Analysis and Visualization for Enhanced Signal Processing

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MMMurad MegjhaniColumbia University Irving Medical CenterYLY. W. LiColumbia University Irving Medical CenterGGGiselle GrassiColumbia University Irving Medical Center

Key Points

  • The research aims to optimize waveform analysis of intracranial pressure (ICP) to assess cerebral compliance.
  • Developed a deep learning-based model for ICP waveform analysis
  • Focused on the distinction between compliant and non-compliant waveforms
  • Utilized signal processing techniques to enhance waveform visualization
  • Achieved high performance in differentiating compliant from non-compliant ICP waveforms
  • Extracted clinically relevant features indicative of cerebral compliance

Abstract

A deep learning-based foundation model optimized for analyzing invasive ICP waveforms can extract clinically relevant information about cerebral compliance. The performance was best for distinguishing compliant from non-compliant waveforms.

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Cite This Study

Megjhani et al. (2026) studied this question.

synapsesocial.com/papers/69aa6f3c531e4c4a9ff595b7https://doi.org/10.1109/tbme.2026.3669377
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Deep learning-based model for detection of intracranial waveforms with poor brain compliance in southern Thailand2025
  2. 2Peak detection in intracranial pressure signal waveforms: a comparative study2024 · 2 citations
  3. 3Fully Convolutional Networks for pathophysiological Intracranial Pressure waveform classification2020
  4. 4Analysis of intracranial pressure pulse waveform in studies on cerebrospinal compliance: a narrative review2023 · 30 citations
  5. 5Intracranial Pressure Waveform Analysis During Rest and Suctioning2009 · 29 citations