% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@PHDTHESIS{Edel:1023682,
author = {Edel, Maria Stephanie},
othercontributors = {Mazinani, Babac and Gombert, Alexander},
title = {{M}ethodenvergleich der {A}mplitudenbestimmung beim
multifokalen {ERG} durch {G}ipfelidentifizierung sowie 30
{H}z-{F}licker {S}timulation und {F}ourier {A}nalyse bei
{M}akulaerkrankungen},
school = {Rheinisch-Westfälische Technische Hochschule Aachen},
type = {Dissertation},
address = {Aachen},
publisher = {RWTH Aachen University},
reportid = {RWTH-2025-10666},
pages = {1 Online-Ressource : Illustrationen},
year = {2025},
note = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
University 2026; Dissertation, Rheinisch-Westfälische
Technische Hochschule Aachen, 2025},
abstract = {The aim of this study was to improve the reproducibility of
the established measurements of the multifocal
electroretinogram. To date amplitudes of the mf ERG are
determined automatically by setting cursors. Changing the
stimulus frequency to 30 Hz (flicker) produces a sinusoidal
curve from which the maximum amplitude density can be
extracted using Fourier analysis. The 30 Hz flicker
stimulation and amplitude determination using Fourier
analysis has already been tested in an earlier study with 27
healthy subjects in comparison to conventional mf ERG with
automated peak identification. The study showed comparable
variability without significant differences. The graphical
analysis of the potential curve of the conventional method
made it difficult to identify the amplitude in patients with
macular diseases, whereas the 30 Hz flicker method gave an
exact amplitude density even in macular diseases. (Mazinani
et al., 2007). In this study, the FOK mf ERG and the 30 Hz
flicker mf ERG were each measured twice in 25 patients with
macular diseases. Reliability was evaluated using mean
values, standard deviations and the relative coefficient of
variation. Furthermore, the signal-to-noise ratio was
analysed and a manual evaluation was performed. The results
were presented graphically as a correlation analysis and
Bland- Altmann plot. An additional examination was used to
differentiate between central and peripheral retina as well
as nasal and temporal regions. High accuracy was achieved
with both measurement methods (coefficients of variation of
the sum ≤ 10 $\%).$ The results showed a better
repeatability of the flicker method in the central macula,
which is the area of the retina mainly affected by the
pathology. The conventional method showed significantly
better repeatability in the peripheral macula. The
hypothesis that the flicker method for amplitude
determination bypassing peak identification has advantages
in pathological cases was partially supported by our results
in central parts. However, as these advantages were largely
not significant, it is questionable whether this advantage
is clinically relevant.},
cin = {536000-2 ; 938110},
ddc = {610},
cid = {$I:(DE-82)536000-2_20140620$},
typ = {PUB:(DE-HGF)11},
doi = {10.18154/RWTH-2025-10666},
url = {https://publications.rwth-aachen.de/record/1023682},
}