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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 MegjhaniYLY. W. LiGGGiselle Grassi

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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