000087572 001__ 87572
000087572 005__ 20210902121612.0
000087572 0247_ $$2doi$$a10.3390/s20010007
000087572 0248_ $$2sideral$$a115752
000087572 037__ $$aART-2020-115752
000087572 041__ $$aeng
000087572 100__ $$ade Santiago, Luis
000087572 245__ $$aEmpirical mode decomposition-based filter applied to multifocal electroretinograms in multiple sclerosis diagnosis
000087572 260__ $$c2020
000087572 5060_ $$aAccess copy available to the general public$$fUnrestricted
000087572 5203_ $$aAs multiple sclerosis (MS) usually affects the visual pathway, visual electrophysiological tests can be used to diagnose it. The objective of this paper is to research methods for processing multifocal electroretinogram (mfERG) recordings to improve the capacity to diagnose MS. MfERG recordings from 15 early-stage MS patients without a history of optic neuritis and from 6 control subjects were examined. A normative database was built from the control subject signals. The mfERG recordings were filtered using empirical mode decomposition (EMD). The correlation with the signals in a normative database was used as the classification feature. Using EMD-based filtering and performance correlation, the mean area under the curve (AUC) value was 0.90. The greatest discriminant capacity was obtained in ring 4 and in the inferior nasal quadrant (AUC values of 0.96 and 0.94, respectively). Our results suggest that the combination of filtering mfERG recordings using EMD and calculating the correlation with a normative database would make mfERG waveform analysis applicable to assessment of multiple sclerosis in early-stage patients.
000087572 536__ $$9info:eu-repo/grantAgreement/ES/ISCIII/PI17-01726$$9info:eu-repo/grantAgreement/ES/ISCIII/RETICS-RD16-0008-020$$9info:eu-repo/grantAgreement/ES/ISCIII/RETICS-RD16-0008-029$$9info:eu-repo/grantAgreement/ES/MINECO/DPI2017-88438-R
000087572 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000087572 590__ $$a3.576$$b2020
000087572 591__ $$aINSTRUMENTS & INSTRUMENTATION$$b14 / 64 = 0.219$$c2020$$dQ1$$eT1
000087572 591__ $$aCHEMISTRY, ANALYTICAL$$b26 / 83 = 0.313$$c2020$$dQ2$$eT1
000087572 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b82 / 273 = 0.3$$c2020$$dQ2$$eT1
000087572 592__ $$a0.636$$b2020
000087572 593__ $$aAnalytical Chemistry$$c2020$$dQ2
000087572 593__ $$aAtomic and Molecular Physics, and Optics$$c2020$$dQ2
000087572 593__ $$aBiochemistry$$c2020$$dQ2
000087572 593__ $$aMedicine (miscellaneous)$$c2020$$dQ2
000087572 593__ $$aInformation Systems$$c2020$$dQ2
000087572 593__ $$aInstrumentation$$c2020$$dQ2
000087572 593__ $$aElectrical and Electronic Engineering$$c2020$$dQ2
000087572 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000087572 700__ $$aOrtiz del Castillo, M.
000087572 700__ $$0(orcid)0000-0001-6258-2489$$aGarcia-Martin, Elena$$uUniversidad de Zaragoza
000087572 700__ $$aRodrigo, María Jesús
000087572 700__ $$aSánchez Morla, Eva M.
000087572 700__ $$aCavaliere, Carlo
000087572 700__ $$aCordón, Beatriz
000087572 700__ $$aMiguel, Juan Manuel
000087572 700__ $$aLópez, Almudena
000087572 700__ $$aBoquete, Luciano
000087572 7102_ $$11013$$2646$$aUniversidad de Zaragoza$$bDpto. Cirugía$$cÁrea Oftalmología
000087572 773__ $$g20, 1 (2020), 7 [17 pp.]$$pSensors$$tSensors (Switzerland)$$x1424-8220
000087572 8564_ $$s1764919$$uhttps://zaguan.unizar.es/record/87572/files/texto_completo.pdf$$yVersión publicada
000087572 8564_ $$s101086$$uhttps://zaguan.unizar.es/record/87572/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000087572 909CO $$ooai:zaguan.unizar.es:87572$$particulos$$pdriver
000087572 951__ $$a2021-09-02-08:41:45
000087572 980__ $$aARTICLE