Software for analysing multifocal visual evoked potential signal latency progression

Abstract

Background: This paper describes a new non-commercial software application (mfVEP2) developed to process multifocal visual-evoked-potential (mfVEP) signals in latency (monocular and interocular) progression studies. Method: The software performs analysis by cross-correlating signals from the same patients. The criteria applied by the software include best channels, signal window, cross-correlation limits and signal-to-noise ratio (SNR). Software features include signal display comparing different tests and groups of sectors (quadrants, rings and hemispheres). Results: The software's performance and capabilities are demonstrated on the results obtained from a patient with acute optic neuritis..