Acquisition and Analysis of Cognitive Evoked Potentials using an Emotiv Headset for ADHD Evaluation in Children

Attention-deficit/hyperactivity disorder (ADHD) is a neurological condition that affects the quality of life of the patients. It can be diagnosed using a combination of psychological tests. In addition to that, the brain activity of the patients can be analyzed using electroencephalography (EEG). Th...

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Tipo de recurso:
Fecha de publicación:
2019
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/9149
Acceso en línea:
https://hdl.handle.net/20.500.12585/9149
Palabra clave:
Brain
Electrophysiology
Image processing
Testing
Vision
Attention deficit
Brain activity
Commercial systems
Emotiv epoc
Medical grades
Psychological tests
Quality of life
Reliable measurement
Electroencephalography
Rights
restrictedAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/
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oai_identifier_str oai:repositorio.utb.edu.co:20.500.12585/9149
network_acronym_str UTB2
network_name_str Repositorio Institucional UTB
repository_id_str
dc.title.none.fl_str_mv Acquisition and Analysis of Cognitive Evoked Potentials using an Emotiv Headset for ADHD Evaluation in Children
title Acquisition and Analysis of Cognitive Evoked Potentials using an Emotiv Headset for ADHD Evaluation in Children
spellingShingle Acquisition and Analysis of Cognitive Evoked Potentials using an Emotiv Headset for ADHD Evaluation in Children
Brain
Electrophysiology
Image processing
Testing
Vision
Attention deficit
Brain activity
Commercial systems
Emotiv epoc
Medical grades
Psychological tests
Quality of life
Reliable measurement
Electroencephalography
title_short Acquisition and Analysis of Cognitive Evoked Potentials using an Emotiv Headset for ADHD Evaluation in Children
title_full Acquisition and Analysis of Cognitive Evoked Potentials using an Emotiv Headset for ADHD Evaluation in Children
title_fullStr Acquisition and Analysis of Cognitive Evoked Potentials using an Emotiv Headset for ADHD Evaluation in Children
title_full_unstemmed Acquisition and Analysis of Cognitive Evoked Potentials using an Emotiv Headset for ADHD Evaluation in Children
title_sort Acquisition and Analysis of Cognitive Evoked Potentials using an Emotiv Headset for ADHD Evaluation in Children
dc.subject.keywords.none.fl_str_mv Brain
Electrophysiology
Image processing
Testing
Vision
Attention deficit
Brain activity
Commercial systems
Emotiv epoc
Medical grades
Psychological tests
Quality of life
Reliable measurement
Electroencephalography
topic Brain
Electrophysiology
Image processing
Testing
Vision
Attention deficit
Brain activity
Commercial systems
Emotiv epoc
Medical grades
Psychological tests
Quality of life
Reliable measurement
Electroencephalography
description Attention-deficit/hyperactivity disorder (ADHD) is a neurological condition that affects the quality of life of the patients. It can be diagnosed using a combination of psychological tests. In addition to that, the brain activity of the patients can be analyzed using electroencephalography (EEG). The application of EEG tests requires the cooperation of the patients, which can be challenging in patients with ADHD. This paper describes the development of a system for stimuli generation, and acquisition and analysis of cognitive evoked potentials using the commercial system Emotiv EPOC+ headset. The results show that the system allows precise and reliable measurements of the P300 waves in children, and may provide a more comfortable experience for the patients compared to medical-grade systems. © 2019 IEEE.
publishDate 2019
dc.date.issued.none.fl_str_mv 2019
dc.date.accessioned.none.fl_str_mv 2020-03-26T16:33:04Z
dc.date.available.none.fl_str_mv 2020-03-26T16:33:04Z
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
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dc.type.hasversion.none.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.spa.none.fl_str_mv Conferencia
status_str publishedVersion
dc.identifier.citation.none.fl_str_mv 2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings
dc.identifier.isbn.none.fl_str_mv 9781728114910
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12585/9149
dc.identifier.doi.none.fl_str_mv 10.1109/STSIVA.2019.8730225
dc.identifier.instname.none.fl_str_mv Universidad Tecnológica de Bolívar
dc.identifier.reponame.none.fl_str_mv Repositorio UTB
dc.identifier.orcid.none.fl_str_mv 57190165939
57192930752
57210822856
identifier_str_mv 2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings
9781728114910
10.1109/STSIVA.2019.8730225
Universidad Tecnológica de Bolívar
Repositorio UTB
57190165939
57192930752
57210822856
url https://hdl.handle.net/20.500.12585/9149
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.conferencedate.none.fl_str_mv 24 April 2019 through 26 April 2019
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_16ec
dc.rights.uri.none.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.accessrights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
dc.rights.cc.none.fl_str_mv Atribución-NoComercial 4.0 Internacional
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
Atribución-NoComercial 4.0 Internacional
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eu_rights_str_mv restrictedAccess
dc.format.medium.none.fl_str_mv Recurso electrónico
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers Inc.
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers Inc.
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dc.source.event.none.fl_str_mv 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019
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spelling 2020-03-26T16:33:04Z2020-03-26T16:33:04Z20192019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings9781728114910https://hdl.handle.net/20.500.12585/914910.1109/STSIVA.2019.8730225Universidad Tecnológica de BolívarRepositorio UTB571901659395719293075257210822856Attention-deficit/hyperactivity disorder (ADHD) is a neurological condition that affects the quality of life of the patients. It can be diagnosed using a combination of psychological tests. In addition to that, the brain activity of the patients can be analyzed using electroencephalography (EEG). The application of EEG tests requires the cooperation of the patients, which can be challenging in patients with ADHD. This paper describes the development of a system for stimuli generation, and acquisition and analysis of cognitive evoked potentials using the commercial system Emotiv EPOC+ headset. The results show that the system allows precise and reliable measurements of the P300 waves in children, and may provide a more comfortable experience for the patients compared to medical-grade systems. © 2019 IEEE.IEEE Colombia Section;IEEE Signal Processing Society Colombia Chapter;Universidad Industrial de SantanderRecurso electrónicoapplication/pdfengInstitute of Electrical and Electronics Engineers Inc.http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/restrictedAccessAtribución-NoComercial 4.0 Internacionalhttp://purl.org/coar/access_right/c_16echttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85068025888&doi=10.1109%2fSTSIVA.2019.8730225&partnerID=40&md5=1ab4b79cba32ab15559e469802fa8d78Scopus2-s2.0-8506802588822nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019Acquisition and Analysis of Cognitive Evoked Potentials using an Emotiv Headset for ADHD Evaluation in Childreninfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionConferenciahttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_c94fBrainElectrophysiologyImage processingTestingVisionAttention deficitBrain activityCommercial systemsEmotiv epocMedical gradesPsychological testsQuality of lifeReliable measurementElectroencephalography24 April 2019 through 26 April 2019Mercado-Aguirre I.M.Gutiérrez-Ruíz, KarolContreras Ortiz, Sonia HelenaMueller, A., Candrian, G., Grane, V.A., Kropotov, J.D., Ponomarev, V.A., Baschera, G.-M., Discriminating between ADHD adults and controls using independent ERP components and a support vector machine: A validation study (2011) Nonlinear Biomedical Physics, 5 (1), p. 5Vásquez, J., Cárdenas, E.M., Feria, M., Benjet, C., Palacios, L., Dela Peña, F., (2010) Guía Clínica para El Trastorno Por Déficit de Atención e Hiperactividad, , Berenzon S, Del Bosque J, Alfaro J, Medina-Mora ME. México, DF Guías Clínicas para la Atención de Trastornos Mentales, Instituto Nacional de Psiquiatría Ramón de la Fuente(2009) Trastorno de Déficit de Atención e Hiperactividad, Publicación STR 09-3572, , https://www.nimh.nih.gov/health/publications/espanol/trastorno-de-deficit-de-atencion-e-hiperactividad-facil-de-leer/index.shtml, N. I. of Mental Health, Accessed 23-July-2018Lenartowicz, A., Loo, S.K., Use of EEG to diagnose ADHD (2014) Current Psychiatry Reports, 16 (11), p. 498Comerchero, M.D., Polich, J., P3a and P3b from typical auditory and visual stimuli (1999) Clinical Neurophysiology, 110 (1), pp. 24-30Donchin, E., Ritter, W., McCallum, W.C., Cognitive psychophysiology: The endogenous components of the erp (1978) Event-related Brain Potentials in Man, pp. 349-411Liu, Y., Jiang, X., Cao, T., Wan, F., Mak, P.U., Mak, P.-I., Vai, M.I., Implementation of SSVEP based BCI with Emotiv EPOC (2012) Virtual Environments Human-Computer Interfaces and Measurement Systems (VECIMS), 2012 IEEE International Conference on, pp. 34-37. , IEEEBenitez, D.S., Toscano, S., Silva, A., On the use of the Emotiv EPOC neuroheadset as a low cost alternative for EEG signal acquisition (2016) Communications and Computing (COLCOM), 2016 IEEE Colombian Conference on, pp. 1-6. , IEEELiu, X., Chao, F., Jiang, M., Zhou, C., Ren, W., Shi, M., Towards lowcost P300-Based BCI using Emotiv Epoc headset (2017) UK Workshop on Computational Intelligence., pp. 239-244. , SpringerDuvinage, M., Castermans, T., Petieau, M., Hoellinger, T., Cheron, G., Dutoit, T., Performance of the Emotiv Epoc headset for P300-based applications (2013) Biomedical Engineering Online, 12 (1), p. 56Badcock, N.A., Mousikou, P., Mahajan, Y., De Lissa, P., Thie, J., McArthur, G., Validation of the Emotiv EPOC EEG gaming system for measuring research quality auditory ERPs (2013) PeerJ, 1, p. e38Badcock, N.A., Preece, K.A., DeWit, B., Glenn, K., Fieder, N., Thie, J., McArthur, G., Validation of the Emotiv EPOC EEG system for research quality auditory event-related potentials in children (2015) PeerJ, 3, p. e907Aspinall, P., Mavros, P., Coyne, R., Roe, J., The urban brain: Analysing outdoor physical activity with mobile EEG (2015) Br J Sports Med, 49 (4), pp. 272-276Taylor, G.S., Schmidt, C., Empirical evaluation of the Emotiv EPOC BCI headset for the detection of mental actions (2012) Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 56 (1), pp. 193-197. , SAGE Publications Sage CA: Los Angeles, CAKosiński, J., Szklanny, K., Wieczorkowska, A., Wichrowski, M., An analysis of game-related emotions using EMOTIV EPOC (2018) 2018 Federated Conference on Computer Science and Information Systems (FedCSIS)., pp. 913-917. , IEEEYamaguchi, S., Knight, R.T., P300 generation by novel somatosensory stimuli (1991) Electroencephalography and Clinical Neurophysiology, 78 (1), pp. 50-55Thuraisingham, R.A., Tran, Y., Boord, P., Craig, A., Analysis of eyes open, eye closed EEG signals using second-order difference plot (2007) Medical & Biological Engineering & Computing, 45 (12), pp. 1243-1249Katayama, J., Polich, J., P300 from one-, two-, and three-stimulus auditory paradigms (1996) International Journal of Psychophysiology, 23 (1), pp. 33-40Goodin, D., Desmedt, J., Maurer, K., Nuwer, M.R., IFCN recommended standards for long-latency auditory event-related potentials. Report of an IFCN committee (1994) Electroencephalography and Clinical Neurophysiology, 91 (1), pp. 18-20Bishop, D.V., Hardiman, M., Uwer, R., Von Suchodoletz, W., Maturation of the long-latency auditory ERP: Step function changes at start and end of adolescence (2007) Developmental Science, 10 (5), pp. 565-575Oxley, B.C., International 10-20 System for EEG-MCN 2017, , https://en.wikipedia.org/wiki/File:International-10-20-system-for-EEG-MCN.svg, Accessed 13-November-2018Alecha, M.I., Vázquez, S.R., Gallo, D.G., Sardinero, X.V., Utilidad de los potenciales evocados cognitivos en la valoración de la efectividad del tratamiento con metilfenidato en niños con trastorno de déficit de atención con hiperactividad (2005) Revista de Neurología, 40 (1), p. 37Idiazábal, M., Palencia Taboada, A., Sangorrín, J., Espadaler Gamissans, J., Potenciales evocados cognitivos en el trastorno por déficit de atención con hiperactividad (2002) Revista de Neurología, 34 (4), pp. 301-305Johnstone, S.J., Barry, R.J., Clarke, A.R., Ten years on: A followup review of erp research in attention-deficit/hyperactivity disorder (2013) Clinical Neurophysiology, 124 (4), pp. 644-657Idiazábal, M., Palencia-Taboada, A., Sangorrín, J., Espadaler-Gamissans, J., Potenciales evocados cognitivos en el trastorno por déficit de atención con hiperactividad (2002) Revista de Neurología, 34 (4), pp. 301-305Jonkman, L.M., Kemner, C., Verbaten, M.N., Koelega, H.S., Camfferman, G., Vd Gaag, R.-J., Buitelaar, J.K., Van Engeland, H., Event-related potentials and performance of attention-deficit hyperactivity disorder: Children and normal controls in auditory and visual selective attention tasks (1997) Biological Psychiatry, 41 (5), pp. 595-611Smith, J.L., Johnstone, S.J., Barry, R.J., Aiding diagnosis of attention-deficit/hyperactivity disorder and its subtypes: Discriminant function analysis of event-related potential data (2003) Journal of Child Psychology and Psychiatry, 44 (7), pp. 1067-1075http://purl.org/coar/resource_type/c_c94fTHUMBNAILMiniProdInv.pngMiniProdInv.pngimage/png23941https://repositorio.utb.edu.co/bitstream/20.500.12585/9149/1/MiniProdInv.png0cb0f101a8d16897fb46fc914d3d7043MD5120.500.12585/9149oai:repositorio.utb.edu.co:20.500.12585/91492023-05-26 11:48:28.008Repositorio Institucional UTBrepositorioutb@utb.edu.co