title: Automatic positioning of cursors in the transient pattern electroretinogram (PERG) with very poor SNR using an Expert System.
abstract: An expert system is described which automatically cursors PERG waveforms of very poor signal-to-noise ratio. The training data-set is derived from shape-perturbated PERG waveforms based on the ISCEV Standard and a series of clinically-normal waveforms. In validation trials, the Expert System is clearly shown to out-perform the Human Expert in the presence of noise. All software was written in MatLab((R)). It is proposed that this system is generic and similarly applicable to other transient recordings. A comprehensive Internet demonstration (SPoC: Smart Positioning of Cursors) is maintained at www.liverpooleye.org.
authors.affiliation: Department of Clinical Engineering and Clinical Eye Research Centre, Royal Liverpool University Hospital, Liverpool, Merseyside, L7 8XP, UK. a.c.fisher@liv.ac.uk
authors.forename: Anthony Colin
authors.initials: AC
authors.lastname: Fisher
authors.forename: Richard P
authors.initials: RP
authors.lastname: Hagan
authors.forename: Malcolm C
authors.initials: MC
authors.lastname: Brown
mesh_terms: D004596:Electroretinography / Q000379:methods*; D005103:Expert Systems; D006801:Humans; D008962:Models, Theoretical