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OculusGraphy: Ophthalmic Electrophysiological Signals Database
- Citation Author(s):
- Submitted by:
- Aleksei Zhdanov
- Last updated:
- Sat, 12/10/2022 - 13:34
- DOI:
- 10.21227/r1wb-pg25
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Abstract
Electroretinography is a non-invasive electrophysiological method standardized by the International Society for Clinical Electrophysiology of Vision (ISCEV). Electroretinography has been used for the clinical application and standardization of electrophysiological protocols for diagnosing the retina since 1989. Electroretinography become fundamental ophthalmological research method that may assesses the state of the retina. To transfer clinical practice to patients the establishment of standardized protocols is an important step. It is important for monitoring successful molecular therapy in retinal degeneration. Retinitis pigmentosa or achromatopsia and, consequently, affected cones or rods photoreceptors is corresponded to complete absent of electrical response. Thus, detection of even modest improvements after therapeutic treatment is required. Standardized protocols allow the implementation of electroretinography under conditions of optimization of sensitivity and specificity during clinical trials. It should be noted that the literature on retinal diseases demonstrates clinical cases in which patients may have several retinal diseases at the same time.
This database includes 1974 electroretinogram signals. Electrophysiological studies were conducted at the IRTC Eye Microsurgery Ekaterinburg Center. Registration of electroretinogram signals was performed using a computerized electrophysiological workstation EP-1000, manufactured by Tomey GmbH.
FUNDING
The research funding from the Ministry of Science and Higher Education of the Russian Federation (Ural Federal University Program of Development within the Priority-2030 Program) is gratefully acknowledged.
Aleksei Zhdanov executed the design, the definition of intellectual content, data analysis, etc. within the Bi-nationally Supervised Doctoral Degrees/Cotutelle DAAD Research Grant.
WHEN USING THIS RESOURCE, PLEASE CITE THE ORIGINAL PUBLICATION
Zhdanov, A.; Dolganov, A.; Zanca, D.; Borisov, V.; Ronkin, M. Advanced Analysis of Electroretinograms Based on Wavelet Scalogram Processing. Appl. Sci. 2022, 12, 12365. https://doi.org/10.3390/app122312365
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