Acuity VEP: improved with machine learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Physiology (medical),Sensory Systems,Ophthalmology
Link
http://link.springer.com/content/pdf/10.1007/s10633-019-09701-x.pdf
Reference15 articles.
1. Bach M, Maurer JP, Wolf ME (2008) Visual evoked potential-based acuity assessment in normal vision, artificially degraded vision, and in patients. Br J Ophthalmol 92:396–403. https://doi.org/10.1136/bjo.2007.130245
2. Strasburger H, Scheidler W, Rentschler I (1988) Amplitude and phase characteristics of the steady-state visual evoked potential. Appl Opt 27:1069–1088
3. Joost W, Bach M (1990) Variability of the steady-state visually evoked potential: interindividual variance and intraindividual reproducibility of spatial frequency tuning. Doc Ophthalmol 75:59–66
4. Bach M, Meigen T (1999) Do’s and don’ts in Fourier analysis of steady-state potentials. Doc Ophthalmol 99:69–82
5. Meigen T, Bach M (1999) On the statistical significance of electrophysiological steady-state responses. Doc Ophthalmol 98:207–232
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