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Related Experiment Video

Updated: May 28, 2026

Assessing Cerebral Autoregulation via Oscillatory Lower Body Negative Pressure and Projection Pursuit Regression
11:26

Assessing Cerebral Autoregulation via Oscillatory Lower Body Negative Pressure and Projection Pursuit Regression

Published on: December 10, 2014

Interpolation and Imputation Strategies for Missing Segments in Continuous Pressure-Flow Cerebral Bio-Signals: A

Isuru Sachitha Herath1, Izabella Marquez2, Julia Ryznar2

  • 1Department of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada.

Sensors (Basel, Switzerland)
|May 27, 2026
PubMed
Summary

This review found no studies using interpolation or imputation for missing cerebral bio-signal data. More research is needed to develop methods for reconstructing these vital pressure-flow signals.

Keywords:
continuous pressure-flow cerebral bio-signalsimputationinterpolationmissing dataneurocritical care monitoring

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Data Science

Background:

  • Cerebral bio-signals are crucial for monitoring cerebrovascular dynamics.
  • Missing data segments in these signals disrupt integrity and compromise accuracy.
  • Reconstructing missing data is essential for stable signal analysis and reliable cerebrovascular indices.

Purpose of the Study:

  • To systematically review interpolation and imputation strategies for missing segments in pressure-flow cerebral bio-signals.
  • To identify current methodologies for handling signal discontinuities.
  • To highlight knowledge gaps in reconstructing missing bio-signal data.

Main Methods:

  • Systematic scoping review following Cochrane and PRISMA guidelines.
  • Comprehensive search of five electronic databases up to June 2025.
  • Inclusion of 8 studies that employed interpolation techniques for signal correction.

Main Results:

  • All 8 included studies used interpolation (e.g., linear, spline) for distorted segments.
  • No studies directly utilized interpolation or imputation to reconstruct missing data segments.
  • A significant knowledge gap exists regarding methods for filling missing cerebral bio-signal data.

Conclusions:

  • No systematic approach was found for interpolation or imputation of missing pressure-flow cerebral bio-signals.
  • There is a critical need for specialized methodologies and frameworks for reliable data recovery.
  • This review provides a foundation for future research in physiologically informed signal reconstruction.