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A fast, portable desaccading program.

J R Holden1, S L Wearne, I S Curthoys

  • 1Department of Psychology, University of Sydney, NSW Australia.

Journal of Vestibular Research : Equilibrium & Orientation
|January 1, 1992
PubMed
Summary
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A new C program accurately removes saccades, quick phases, and blinks from eye movement data. This allows for precise slow phase eye velocity (SPV) determination during vestibular stimulation.

Area of Science:

  • Neuroscience
  • Ophthalmology
  • Biomedical Engineering

Background:

  • Accurate measurement of slow phase eye velocity (SPV) is crucial for understanding vestibular function.
  • Artifacts such as saccades, quick phases, and blinks in eye movement recordings can significantly impede SPV determination.
  • Existing methods for artifact removal may be complex or computationally intensive.

Purpose of the Study:

  • To develop and report a novel, efficient program for detecting and removing artifacts from eye movement records.
  • To enable reliable determination of slow phase eye velocity (SPV) during vestibular stimulation.
  • To provide a simple, fast, and computer-independent solution for eye movement data processing.

Main Methods:

  • The study reports a computer program developed in C.

Related Experiment Videos

  • The program is designed to identify and eliminate saccades, quick phases, and blink signals.
  • The core functionality focuses on processing eye movement records for subsequent SPV analysis.

    • Main Results:

    • The developed program effectively detects and removes saccades, quick phases, and blink artifacts.
    • The program facilitates the accurate determination of slow phase eye velocity (SPV).
    • The software is characterized by its simplicity, speed, and cross-platform compatibility.

    Conclusions:

    • The reported C program offers a robust solution for artifact removal in eye movement data.
    • This tool enhances the reliability of slow phase eye velocity (SPV) measurements in vestibular research.
    • The program's efficiency and independence from specific computer types make it widely applicable.