An electroretinogram (ERG) represents the global responses of the retina to a visual stimulus and shows accumulated responses of each layer of the retina relative to the signal processing mechanisms occurring within the retina. Thus, investigating the reaction types of each ERG wave provides information required for diagnosis and for identifying the signal processing mechanisms in the retina. In this study, an ERG signal is generated by simulating the volume conductor field response for each retina layer, which are then summed algebraically. The retina model used for the simulation is Shah's Computer Retina model, which is the most reliable model developed so far. When the generated ERG is compared with a typical clinical ERG it exhibits a close similarity. Based on changing the parameters of the ERG model, a diagnostic investigation is performed with a variation in the ERG waveform.
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Seung-Pyo CHAE, Jeong-Woo LEE, Woo-Young JANG, Byung-Seop SONG, Myoung-Nam KIM, Si-Yeol KIM, Jin-Ho CHO, "ERG Signal Modeling Based on Retinal Model" in IEICE TRANSACTIONS on Fundamentals,
vol. E84-A, no. 6, pp. 1515-1524, June 2001, doi: .
Abstract: An electroretinogram (ERG) represents the global responses of the retina to a visual stimulus and shows accumulated responses of each layer of the retina relative to the signal processing mechanisms occurring within the retina. Thus, investigating the reaction types of each ERG wave provides information required for diagnosis and for identifying the signal processing mechanisms in the retina. In this study, an ERG signal is generated by simulating the volume conductor field response for each retina layer, which are then summed algebraically. The retina model used for the simulation is Shah's Computer Retina model, which is the most reliable model developed so far. When the generated ERG is compared with a typical clinical ERG it exhibits a close similarity. Based on changing the parameters of the ERG model, a diagnostic investigation is performed with a variation in the ERG waveform.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e84-a_6_1515/_p
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@ARTICLE{e84-a_6_1515,
author={Seung-Pyo CHAE, Jeong-Woo LEE, Woo-Young JANG, Byung-Seop SONG, Myoung-Nam KIM, Si-Yeol KIM, Jin-Ho CHO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={ERG Signal Modeling Based on Retinal Model},
year={2001},
volume={E84-A},
number={6},
pages={1515-1524},
abstract={An electroretinogram (ERG) represents the global responses of the retina to a visual stimulus and shows accumulated responses of each layer of the retina relative to the signal processing mechanisms occurring within the retina. Thus, investigating the reaction types of each ERG wave provides information required for diagnosis and for identifying the signal processing mechanisms in the retina. In this study, an ERG signal is generated by simulating the volume conductor field response for each retina layer, which are then summed algebraically. The retina model used for the simulation is Shah's Computer Retina model, which is the most reliable model developed so far. When the generated ERG is compared with a typical clinical ERG it exhibits a close similarity. Based on changing the parameters of the ERG model, a diagnostic investigation is performed with a variation in the ERG waveform.},
keywords={},
doi={},
ISSN={},
month={June},}
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TY - JOUR
TI - ERG Signal Modeling Based on Retinal Model
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1515
EP - 1524
AU - Seung-Pyo CHAE
AU - Jeong-Woo LEE
AU - Woo-Young JANG
AU - Byung-Seop SONG
AU - Myoung-Nam KIM
AU - Si-Yeol KIM
AU - Jin-Ho CHO
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E84-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 2001
AB - An electroretinogram (ERG) represents the global responses of the retina to a visual stimulus and shows accumulated responses of each layer of the retina relative to the signal processing mechanisms occurring within the retina. Thus, investigating the reaction types of each ERG wave provides information required for diagnosis and for identifying the signal processing mechanisms in the retina. In this study, an ERG signal is generated by simulating the volume conductor field response for each retina layer, which are then summed algebraically. The retina model used for the simulation is Shah's Computer Retina model, which is the most reliable model developed so far. When the generated ERG is compared with a typical clinical ERG it exhibits a close similarity. Based on changing the parameters of the ERG model, a diagnostic investigation is performed with a variation in the ERG waveform.
ER -