Empirical mode decomposition-based filter applied to multifocal electroretinograms in multiple sclerosis diagnosis

de Santiago, Luis ; Ortiz del Castillo, M. ; Garcia-Martin, Elena (Universidad de Zaragoza) ; Rodrigo, María Jesús ; Sánchez Morla, Eva M. ; Cavaliere, Carlo ; Cordón, Beatriz ; Miguel, Juan Manuel ; López, Almudena ; Boquete, Luciano

Resumen: As 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.

Idioma: Inglés

DOI: 10.3390/s20010007

Año: 2020

Publicado en: Sensors (Switzerland) 20, 1 (2020), 7 [17 pp.]
ISSN: 1424-8220

Factor impacto JCR: 3.576 (2020)

Categ. JCR: INSTRUMENTS & INSTRUMENTATION rank: 14 / 64 = 0.219 (2020) - Q1 - T1
Categ. JCR: CHEMISTRY, ANALYTICAL rank: 26 / 83 = 0.313 (2020) - Q2 - T1
Categ. JCR: ENGINEERING, ELECTRICAL & ELECTRONIC rank: 82 / 273 = 0.3 (2020) - Q2 - T1

Factor impacto SCIMAGO: 0.636 - Analytical Chemistry (Q2) - Atomic and Molecular Physics, and Optics (Q2) - Biochemistry (Q2) - Medicine (miscellaneous) (Q2) - Information Systems (Q2) - Instrumentation (Q2) - Electrical and Electronic Engineering (Q2)

Financiación: info:eu-repo/grantAgreement/ES/ISCIII/PI17-01726
Financiación: info:eu-repo/grantAgreement/ES/ISCIII/RETICS-RD16-0008-020
Financiación: info:eu-repo/grantAgreement/ES/ISCIII/RETICS-RD16-0008-029
Financiación: info:eu-repo/grantAgreement/ES/MINECO/DPI2017-88438-R

Tipo y forma: Artículo (Versión definitiva)

Área (Departamento): Área Oftalmología (Dpto. Cirugía)