dc.creator | Serrano Barroso, Almudena Guiomar | es |
dc.creator | Siugzdaite, Roma | es |
dc.creator | Guerrero Cubero, Jaime | es |
dc.creator | Molina Cantero, Alberto Jesús | es |
dc.creator | Gómez González, Isabel María | es |
dc.creator | López García, Juan Carlos | es |
dc.creator | Vargas Romero, Juan Pedro | es |
dc.date.accessioned | 2021-06-01T09:58:11Z | |
dc.date.available | 2021-06-01T09:58:11Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Serrano Barroso, A.G., Siugzdaite, R., Guerrero Cubero, J., Molina Cantero, A.J., Gómez González, I.M., López García, J.C. y Vargas Romero, J.P. (2021). Detecting Attention Levels in ADHD Children with a Video Game and the Measurement of Brain Activity with a Single-Channel BCI Headset. Sensors, 21 (9), Article 3221. | |
dc.identifier.issn | 1424-8220 | es |
dc.identifier.uri | https://hdl.handle.net/11441/111265 | |
dc.description.abstract | Attentional biomarkers in attention deficit hyperactivity disorder are difficult to detect using only behavioural testing. We explored whether attention measured by a low-cost EEG system might be helpful to detect a possible disorder at its earliest stages. The GokEvolution application was designed to train attention and to provide a measure to identify attentional problems in children early on. Attention changes registered with NeuroSky MindWave in combination with the CARAS-R psychological test were used to characterise the attentional profiles of 52 non-ADHD and 23 ADHD children aged 7 to 12 years old. The analyses revealed that the GokEvolution was valuable in measuring attention through its use of EEG–BCI technology. The ADHD group showed lower levels of attention and more variability in brain attentional responses when compared to the control group. The application was able to map the low attention profiles of the ADHD group when compared to the control group and could distinguish between participants who completed the task and those who did not. Therefore, this system could potentially be used in clinical settings as a screening tool for early detection of attentional traits in order to prevent their development. | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación PID2019-110739GB-I00/ AEI/10.13039/501100011033 | es |
dc.description.sponsorship | Ministerio de Ciencia, Innovación y Universidades PSI2015-65500-P | es |
dc.format | application/pdf | es |
dc.format.extent | 11 p. | es |
dc.language.iso | eng | es |
dc.publisher | MDPI | es |
dc.relation.ispartof | Sensors, 21 (9), Article 3221. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | attention | es |
dc.subject | brain–computer interface (BCI) | es |
dc.subject | prevention | es |
dc.subject | early detection | es |
dc.subject | ADHD | es |
dc.subject | neurofeedback | es |
dc.title | Detecting Attention Levels in ADHD Children with a Video Game and the Measurement of Brain Activity with a Single-Channel BCI Headset | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Psicología Experimental | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Tecnología Electrónica | |
dc.relation.projectID | PID2019-110739GB-I00/ AEI/10.13039/501100011033 | es |
dc.relation.projectID | PSI2015-65500-P | es |
dc.relation.publisherversion | https://doi.org/10.3390/s21093221 | es |
dc.identifier.doi | 10.3390/s21093221 | es |
dc.journaltitle | Sensors | es |
dc.publication.volumen | 21 | es |
dc.publication.issue | 9 | es |
dc.publication.initialPage | Article 3221 | es |