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Classification of Cognitive Evoked Potentials for ADHD Detection in Children using Recurrence Plots and CNNs

dc.contributor.authorCabarcas-Mena, Yina P.
dc.contributor.authorMarrugo, Andres G.
dc.contributor.authorContreras-Ortiz, Sonia H.
dc.date.accessioned2023-07-21T16:25:40Z
dc.date.available2023-07-21T16:25:40Z
dc.date.issued2021
dc.date.submitted2023
dc.identifier.citationCabarcas-Mena, Y. P., Marrugo, A. G., & Contreras-Ortiz, S. H. (2021, September). Classification of cognitive evoked potentials for adhd detection in children using recurrence plots and cnns. In 2021 XXIII Symposium on Image, Signal Processing and Artificial Vision (STSIVA) (pp. 1-6). IEEE.spa
dc.identifier.urihttps://hdl.handle.net/20.500.12585/12347
dc.description.abstractAttention-deficit/hyperactivity disorder (ADHD) is a common childhood-onset condition characterized by difficulty paying attention and hyperactivity. The diagnosis of ADHD is made from psychological tests and electroencephalography (EEG). However, patient cooperation is necessary, which is a challenge with ADHD children. This work proposes a method for classification of ADHD and control cases from cognitive event-related potentials using recurrence plots and deep learning. A total of 44 children were included in this study (22 children with ADHD and 22 case controls). The signals were processed by a high-pass filter to eliminate DC components, wavelets transform with six decomposition levels, and synchronized averaging for each of the six channels (F3, AF3, F4, AF4, F7 and F8). Subsequently, the recurrence plot of each of the processed signals was obtained and used as inputs for two convolutional neural networks (CNN). The proposed models showed accuracies of 69.44% and 77,78%. © 2021 IEEEspa
dc.format.extent6 páginas
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.source2021 XXIII Symposium on Image, Signal Processing and Artificial Vision (STSIVA)spa
dc.titleClassification of Cognitive Evoked Potentials for ADHD Detection in Children using Recurrence Plots and CNNsspa
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datacite.rightshttp://purl.org/coar/access_right/c_abf2spa
oaire.versionhttp://purl.org/coar/version/c_b1a7d7d4d402bccespa
dc.type.driverinfo:eu-repo/semantics/articlespa
dc.type.hasversioninfo:eu-repo/semantics/draftspa
dc.identifier.doi10.1109/STSIVA53688.2021.9592021
dc.subject.keywordsEvoked Potentials;spa
dc.subject.keywordsElectroencephalography;spa
dc.subject.keywordsApproximate Entropyspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.ccAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.identifier.instnameUniversidad Tecnológica de Bolívarspa
dc.identifier.reponameRepositorio Universidad Tecnológica de Bolívarspa
dc.publisher.placeCartagena de Indiasspa
dc.subject.armarcLEMB
dc.type.spahttp://purl.org/coar/resource_type/c_6501spa
oaire.resourcetypehttp://purl.org/coar/resource_type/c_6501spa


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Universidad Tecnológica de Bolívar - 2017 Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional. Resolución No 961 del 26 de octubre de 1970 a través de la cual la Gobernación de Bolívar otorga la Personería Jurídica a la Universidad Tecnológica de Bolívar.