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Software for analysing multifocal visual evoked potential signal latency progression.

L de Santiago1, A Klistorner2, M Ortiz1

  • 1Department of Electronics, University of Alcalá, Plaza de S. Diego, s/n, 28801 Alcalá de Henares, Spain.

Computers in Biology and Medicine
|March 4, 2015
PubMed
Summary

This study introduces mfVEP(2), a new software for analyzing multifocal visual-evoked-potential (mfVEP) signals in progression studies. It aids researchers in managing and interpreting mfVEP data for improved diagnostic techniques.

Keywords:
Cross-correlationHemispheresLatency analysisProgression studiesQuadrantsRingsmfVEP

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Area of Science:

  • Ophthalmology
  • Neuroscience
  • Medical Imaging

Background:

  • Describes mfVEP(2), a novel non-commercial software application.
  • Designed for processing multifocal visual-evoked-potential (mfVEP) signals.
  • Focuses on latency in monocular and interocular progression studies.

Purpose of the Study:

  • To present and demonstrate the capabilities of the mfVEP(2) software.
  • To facilitate the analysis of mfVEP signal progression.
  • To support research aimed at refining mfVEP techniques.

Main Methods:

  • Utilizes cross-correlation analysis of patient signals.
  • Applies criteria including best channels, signal window, cross-correlation limits, and SNR.
  • Features signal display for comparing tests and sector groups (quadrants, rings, hemispheres).

Main Results:

  • Demonstrates software performance using data from a patient with acute optic neuritis.
  • Presents numerical values and graphics from 9 follow-up mfVEP tests.
  • Case study illustrates the software's practical application and output.

Conclusions:

  • mfVEP(2) software aids in studying mfVEP signal progression.
  • Valuable for research projects enhancing mfVEP methodologies.
  • Simplifies signal management and offers flexible data representation options.