Development of serious games for neurorehabilitation of children with attention-deficit/hyperactivity disorder through neurofeedback

Página do item simplificado
dc.contributor.advisor1Frizera Neto, Anselmo
dc.contributor.advisor1IDhttps://orcid.org/0000000206873967
dc.contributor.advisor1Latteshttp://lattes.cnpq.br/8928890008799265
dc.contributor.authorMachado, Fabiana Santos Vieira
dc.contributor.authorIDhttps://orcid.org/0000-0003-0996-8651
dc.contributor.authorLatteshttp://lattes.cnpq.br/2705690076290294
dc.contributor.referee1Andrade, Kleber de Oliveira
dc.contributor.referee1Latteshttp://lattes.cnpq.br/1498251399219988
dc.contributor.referee2Palacios, Ester Miyuki Nakamura
dc.contributor.referee2IDhttps://orcid.org/0000-0002-2196-2490
dc.contributor.referee2Latteshttp://lattes.cnpq.br/1236573205554833
dc.date.accessioned2024-05-30T00:48:58Z
dc.date.available2024-05-30T00:48:58Z
dc.date.issued2020-04-14
dc.description.abstractAttention Deficit Hyperactivity Disorder (ADHD) is a neuropsychiatric disorder, which is treated with the administration of psychostimulants, and cognitive behavioral approaches. The use of the medication may have side effects; thus, neurofeedback can be used to teach the user how to regulate their own brainwaves to help correct its dysfunctional patterns. NFB has a repetitive aspect and can be long lasting. Therefore, “serious games” can be integrated into training to maintain interest throughout the process. This research presents the development of a neurofeedback system based on serious games for neurorehabilitation of children with ADHD. For the brain data acquisition, a 20 dry-electrode wireless EEG headset. The Neurofeedback Space serious game, developed in Unity platform, was developed to be used throughout the NFB sessions and to provide immersion and engagement. In the preliminary validation and algorithm’ selection, 5 volunteers were asked to watch a video with attention and non-attention tasks. Then, an SVM classifier was trained and tested with the collected data to choose between five brain regions and four algorithm versions with the best performance. The best results were achieved by (training accuracy of 98.12% and test accuracy of 93.88%) region 4 (F3, F7, C3 and T3) and version 2. Two experiments with 5 volunteers each, 5 sessions, and with an interval of 2 months between them were done to test the complete NFB system. The main difference between experiments was to fix game level 2 so that all metrics could be compared between volunteers. Three evaluation metrics were used to analyze the improvement in the performance: game’s metric, brain signal’s frequency bands power metric, and concentrated attention test metric. The analyzes show a divergence between the results obtained in both experiments. All volunteers improved in performance in the concentrated attention test. In Experiment 1, the Volunteers improved in the performance of the game metrics and reported feeling more concentrated throughout the week. In Experiment 2, the results of attention, score and sustained attention had large oscillations. Brain data results were inconclusive. Also, fixing level 2 showed no learning effect as perceived in experiment 1. Therefore, it is not possible to declare conclusive results for the developed NFB system, even with the improvement of some metrics presented. Factors that may have affected NFB training are number of sessions, duration of serious game, number of volunteers, game genre, and EEG dry electrodes headset.
dc.description.resumoAttention Deficit Hyperactivity Disorder (ADHD) is a neuropsychiatric disorder, which is treated with the administration of psychostimulants. The use of the medication may have side effects; thus, neurofeedback can be used to teach the user how to regulat
dc.formatText
dc.identifier.urihttp://repositorio.ufes.br/handle/10/14178
dc.languagepor
dc.publisherUniversidade Federal do Espírito Santo
dc.publisher.countryBR
dc.publisher.courseMestrado em Engenharia Elétrica
dc.publisher.departmentCentro Tecnológico
dc.publisher.initialsUFES
dc.publisher.programPrograma de Pós-Graduação em Engenharia Elétrica
dc.rightsopen access
dc.subjectNeurofeedback
dc.subjectEEG
dc.subjectADHD
dc.subjectSerious Games
dc.subjectSignal Processing
dc.subject.br-rjbnsubject.br-rjbn
dc.subject.cnpqEngenharia Elétrica
dc.titleDevelopment of serious games for neurorehabilitation of children with attention-deficit/hyperactivity disorder through neurofeedback
dc.typemasterThesis
Arquivos
Pacote Original
Agora exibindo 1 - 1 de 1
Imagem de Miniatura
Nome:
Dissertação - Fabiana Santos - Versão Final.pdf
Tamanho:
8.05 MB
Formato:
Adobe Portable Document Format
Descrição:
Baixar
Coleções
Mestrado em Engenharia Elétrica