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dc.contributor.authorZhdanov, A.en
dc.contributor.authorConstable, P.en
dc.contributor.authorManjur, S. M.en
dc.contributor.authorDolganov, A.en
dc.contributor.authorPosada-Quintero, H. F.en
dc.contributor.authorLizunov, A.en
dc.date.accessioned2024-04-05T16:26:47Z-
dc.date.available2024-04-05T16:26:47Z-
dc.date.issued2023-
dc.identifier.citationZhdanov, 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/bioengineering10060708harvard_pure
dc.identifier.citationZhdanov, 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/bioengineering10060708apa_pure
dc.identifier.issn2306-5354-
dc.identifier.otherFinal2
dc.identifier.otherAll Open Access, Gold3
dc.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85163705330&doi=10.3390%2fbioengineering10060708&partnerID=40&md5=c5f16bf275e9dfb3fcff8296c51a23531
dc.identifier.otherhttps://www.mdpi.com/2306-5354/10/6/708/pdf?version=1686550236pdf
dc.identifier.urihttp://elar.urfu.ru/handle/10995/130590-
dc.description.abstractBackground: 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.sponsorshipMinistry of Education and Science of the Russian Federation, Minobrnaukaen
dc.description.sponsorshipThe 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.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherMDPIen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.rightscc-byother
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/unpaywall
dc.sourceBioengineering2
dc.sourceBioengineeringen
dc.subjectBIOMEDICAL RESEARCHen
dc.subjectELECTROPHYSIOLOGYen
dc.subjectELECTRORETINOGRAMen
dc.subjectELECTRORETINOGRAPHYen
dc.subjectERGen
dc.titleOculusGraphy: Signal Analysis of the Electroretinogram in a Rabbit Model of Endophthalmitis Using Discrete and Continuous Wavelet Transformsen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.type|info:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.3390/bioengineering10060708-
dc.identifier.scopus85163705330-
local.contributor.employeeZhdanov, 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 Federationen
local.contributor.employeeConstable, P., College of Nursing and Health Sciences, Caring Futures Institute, Flinders University, Adelaide, SA 5042, Australiaen
local.contributor.employeeManjur, S.M., Department of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, United Statesen
local.contributor.employeeDolganov, 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 Federationen
local.contributor.employeePosada-Quintero, H.F., Department of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, United Statesen
local.contributor.employeeLizunov, A., Department of Functional Diagnostics, IRTC Eye Microsurgery Ekaterinburg Center, Yekaterinburg, 620149, Russian Federationen
local.issue6-
local.volume10-
dc.identifier.wos001014064400001-
local.contributor.departmentMachine Learning and Data Analytics Lab, University of Erlangen-Nuremberg, Erlangen, 91052, Germanyen
local.contributor.departmentEngineering School of Information Technologies, Telecommunications and Control Systems, Ural Federal University Named after the First President of Russia B. N. Yeltsin, Yekaterinburg, 620002, Russian Federationen
local.contributor.departmentCollege of Nursing and Health Sciences, Caring Futures Institute, Flinders University, Adelaide, SA 5042, Australiaen
local.contributor.departmentDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, United Statesen
local.contributor.departmentDepartment of Functional Diagnostics, IRTC Eye Microsurgery Ekaterinburg Center, Yekaterinburg, 620149, Russian Federationen
local.identifier.pure41596919-
local.description.order708-
local.identifier.eid2-s2.0-85163705330-
local.identifier.wosWOS:001014064400001-
Располагается в коллекциях:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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