Software for analysing multifocal visual evoked potential signal latency progression

L de Santiago; A Klistorner; M Ortiz; A J Fernández-Rodríguez; J M Rodríguez Ascariz; R Barea; J M Miguel-Jiménez; L Boquete

doi:10.1016/j.compbiomed.2015.02.004

Software for analysing multifocal visual evoked potential signal latency progression

Comput Biol Med. 2015 Apr:59:134-141. doi: 10.1016/j.compbiomed.2015.02.004. Epub 2015 Feb 13.

Authors

L de Santiago¹, A Klistorner², M Ortiz¹, A J Fernández-Rodríguez¹, J M Rodríguez Ascariz¹, R Barea¹, J M Miguel-Jiménez¹, L Boquete³

Affiliations

¹ Department of Electronics, University of Alcalá, Plaza de S. Diego, s/n, 28801 Alcalá de Henares, Spain.
² Department of Ophthalmology Sydney EYE Hospital, 8 Macquarie St, Sydney, NSW 2000, Australia.
³ Department of Electronics, University of Alcalá, Plaza de S. Diego, s/n, 28801 Alcalá de Henares, Spain. Electronic address: luciano.boquete@uah.es.

PMID: 25732777
DOI: 10.1016/j.compbiomed.2015.02.004

Abstract

Background: This paper describes a new non-commercial software application (mfVEP(2)) 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 who underwent 9 follow-up mfVEP tests. Numerical values and graphics are presented and discussed for this case.

Conclusions: The authors present a software application used to study progression in mfVEP signals. It is also useful in research projects designed to improve mfVEP techniques. This software makes it easier for users to manage the signals and allows them to choose various ways of selecting signals and representing results.

Keywords: Cross-correlation; Hemispheres; Latency analysis; Progression studies; Quadrants; Rings; mfVEP.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Disease Progression
Evoked Potentials, Visual / physiology*
Humans
Optic Neuritis / physiopathology*
Signal Processing, Computer-Assisted
Software*
User-Computer Interface