title: Automated post hoc removal of power-line and CRT frame pulse contamination from retinal and cortical evoked potentials (EPs).
abstract: Recordings of the ERG, PERG, VEP and their multi-focal variants are occasionally contaminated with harmonic noise arising from the mains supply and CRT monitors. These noise contributions can be modelled as distorted sinusoids and identified by means of non-linear multiple regression and removed: no a priori estimates of number or frequency of noise sources are required. This approach is termed noise cancellation and does not constitute any form of notch filter: the fidelity of the underlying waveform is preserved. Here the simple theory is illustrated in artificial datasets and then applied to clinical examples of PERG and VEP. The programming language used throughout is MatLab R13SP3 (Mathworks UK Ltd.).
authors.affiliation: Department of Clinical Engineering and Clinical Eye Research Centre, Royal Liverpool University Hospital, Medical School, Duncan Building, Liverpool, L7 8XP, UK. a.c.fisher@liv.ac.uk
authors.forename: Anthony C
authors.initials: AC
authors.lastname: Fisher
authors.forename: Azzam F G
authors.initials: AF
authors.lastname: Taktak
authors.forename: Richard P
authors.initials: RP
authors.lastname: Hagan
authors.forename: Malcolm C
authors.initials: MC
authors.lastname: Brown
mesh_terms: D016477:Artifacts; D016288:Computer Terminals; D005074:Evoked Potentials, Visual / Q000502:physiology*; D006801:Humans; D008962:Models, Theoretical; D012160:Retina / Q000502:physiology*; D012984:Software