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http://elar.urfu.ru/handle/10995/130590
Полная запись метаданных
Поле DC | Значение | Язык |
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dc.contributor.author | Zhdanov, A. | en |
dc.contributor.author | Constable, P. | en |
dc.contributor.author | Manjur, S. M. | en |
dc.contributor.author | Dolganov, A. | en |
dc.contributor.author | Posada-Quintero, H. F. | en |
dc.contributor.author | Lizunov, A. | en |
dc.date.accessioned | 2024-04-05T16:26:47Z | - |
dc.date.available | 2024-04-05T16:26:47Z | - |
dc.date.issued | 2023 | - |
dc.identifier.citation | Zhdanov, A, Constable, P, Manjur, SM, Dolganov, A, Posada-Quintero, HF & Lizunov, A 2023, 'OculusGraphy: Signal Analysis of the Electroretinogram in a Rabbit Model of Endophthalmitis Using Discrete and Continuous Wavelet Transforms', Bioengineering, Том. 10, № 6, 708. https://doi.org/10.3390/bioengineering10060708 | harvard_pure |
dc.identifier.citation | Zhdanov, A., Constable, P., Manjur, S. M., Dolganov, A., Posada-Quintero, H. F., & Lizunov, A. (2023). OculusGraphy: Signal Analysis of the Electroretinogram in a Rabbit Model of Endophthalmitis Using Discrete and Continuous Wavelet Transforms. Bioengineering, 10(6), [708]. https://doi.org/10.3390/bioengineering10060708 | apa_pure |
dc.identifier.issn | 2306-5354 | - |
dc.identifier.other | Final | 2 |
dc.identifier.other | All Open Access, Gold | 3 |
dc.identifier.other | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163705330&doi=10.3390%2fbioengineering10060708&partnerID=40&md5=c5f16bf275e9dfb3fcff8296c51a2353 | 1 |
dc.identifier.other | https://www.mdpi.com/2306-5354/10/6/708/pdf?version=1686550236 | |
dc.identifier.uri | http://elar.urfu.ru/handle/10995/130590 | - |
dc.description.abstract | Background: The electroretinogram is a clinical test used to assess the function of the photoreceptors and retinal circuits of various cells in the eye, with the recorded waveform being the result of the summated response of neural generators across the retina. Methods: The present investigation involved an analysis of the electroretinogram waveform in both the time and time–frequency domains through the utilization of the discrete wavelet transform and continuous wavelet transform techniques. The primary aim of this study was to monitor and evaluate the effects of treatment in a New Zealand rabbit model of endophthalmitis via electroretinogram waveform analysis and to compare these with normal human electroretinograms. Results: The wavelet scalograms were analyzed using various mother wavelets, including the Daubechies, Ricker, Wavelet Biorthogonal 3.1 (bior3.1), Morlet, Haar, and Gaussian wavelets. Distinctive variances were identified in the wavelet scalograms between rabbit and human electroretinograms. The wavelet scalograms in the rabbit model of endophthalmitis showed recovery with treatment in parallel with the time-domain features. Conclusions: The study compared adult, child, and rabbit electroretinogram responses using DWT and CWT, finding that adult signals had higher power than child signals, and that rabbit signals showed differences in the a-wave and b-wave depending on the type of response tested, while the Haar wavelet was found to be superior in visualizing frequency components in electrophysiological signals for following the treatment of endophthalmitis and may give additional outcome measures for the management of retinal disease. © 2023 by the authors. | en |
dc.description.sponsorship | Ministry of Education and Science of the Russian Federation, Minobrnauka | en |
dc.description.sponsorship | 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. | en |
dc.format.mimetype | application/pdf | en |
dc.language.iso | en | en |
dc.publisher | MDPI | en |
dc.rights | info:eu-repo/semantics/openAccess | en |
dc.rights | cc-by | other |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | unpaywall |
dc.source | Bioengineering | 2 |
dc.source | Bioengineering | en |
dc.subject | BIOMEDICAL RESEARCH | en |
dc.subject | ELECTROPHYSIOLOGY | en |
dc.subject | ELECTRORETINOGRAM | en |
dc.subject | ELECTRORETINOGRAPHY | en |
dc.subject | ERG | en |
dc.title | OculusGraphy: Signal Analysis of the Electroretinogram in a Rabbit Model of Endophthalmitis Using Discrete and Continuous Wavelet Transforms | en |
dc.type | Article | en |
dc.type | info:eu-repo/semantics/article | en |
dc.type | |info:eu-repo/semantics/publishedVersion | en |
dc.identifier.doi | 10.3390/bioengineering10060708 | - |
dc.identifier.scopus | 85163705330 | - |
local.contributor.employee | Zhdanov, A., Machine Learning and Data Analytics Lab, University of Erlangen-Nuremberg, Erlangen, 91052, Germany, Engineering School of Information Technologies, Telecommunications and Control Systems, Ural Federal University Named after the First President of Russia B. N. Yeltsin, Yekaterinburg, 620002, Russian Federation | en |
local.contributor.employee | Constable, P., College of Nursing and Health Sciences, Caring Futures Institute, Flinders University, Adelaide, SA 5042, Australia | en |
local.contributor.employee | Manjur, S.M., Department of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, United States | en |
local.contributor.employee | Dolganov, A., Engineering School of Information Technologies, Telecommunications and Control Systems, Ural Federal University Named after the First President of Russia B. N. Yeltsin, Yekaterinburg, 620002, Russian Federation | en |
local.contributor.employee | Posada-Quintero, H.F., Department of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, United States | en |
local.contributor.employee | Lizunov, A., Department of Functional Diagnostics, IRTC Eye Microsurgery Ekaterinburg Center, Yekaterinburg, 620149, Russian Federation | en |
local.issue | 6 | - |
local.volume | 10 | - |
dc.identifier.wos | 001014064400001 | - |
local.contributor.department | Machine Learning and Data Analytics Lab, University of Erlangen-Nuremberg, Erlangen, 91052, Germany | en |
local.contributor.department | Engineering School of Information Technologies, Telecommunications and Control Systems, Ural Federal University Named after the First President of Russia B. N. Yeltsin, Yekaterinburg, 620002, Russian Federation | en |
local.contributor.department | College of Nursing and Health Sciences, Caring Futures Institute, Flinders University, Adelaide, SA 5042, Australia | en |
local.contributor.department | Department of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, United States | en |
local.contributor.department | Department of Functional Diagnostics, IRTC Eye Microsurgery Ekaterinburg Center, Yekaterinburg, 620149, Russian Federation | en |
local.identifier.pure | 41596919 | - |
local.description.order | 708 | - |
local.identifier.eid | 2-s2.0-85163705330 | - |
local.identifier.wos | WOS:001014064400001 | - |
Располагается в коллекциях: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
Файлы этого ресурса:
Файл | Описание | Размер | Формат | |
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2-s2.0-85163705330.pdf | 12,33 MB | Adobe PDF | Просмотреть/Открыть |
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