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dc.contributor.authorBianchi, A. M.
dc.contributor.authorCanevini, M. P.
dc.contributor.authorCoelli, S.
dc.contributor.authorPonzini, L.
dc.contributor.authorBuzzi, E.
dc.contributor.authorAlex, Allwin
dc.date.accessioned2022-02-18T09:02:23Z
dc.date.available2022-02-18T09:02:23Z
dc.identifier.citationAlex A., Coelli S., Bianchi A. M. , Ponzini L., Buzzi E., Canevini M. P. , "EEG analysis of brain activity in Attention Deficit Hyperactivity Disorder during an Attention task", IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI), Modena, İtalya, 11 - 13 Eylül 2017, ss.388-391
dc.identifier.othervv_1032021
dc.identifier.otherav_12c87c7b-0963-48bd-8e9a-9cfe0f7a16a7
dc.identifier.urihttp://hdl.handle.net/20.500.12627/176368
dc.identifier.urihttps://doi.org/10.1109/rtsi.2017.8065955
dc.description.abstractAttention-deficit hyperactivity disorder (ADHD) is a neurobiological condition mostly affecting children. The diagnosis and treatment of ADHD has been a controversial subject among researchers. In this study, we analyzed the accountability of using theta/beta ratio and beta activations as EEG-based biomarkers for assessing the brain activity acquired during an attention task in ADHD children (n = 7) and normal control subjects (n = 7). ADHD subjects showed reduced beta activity during the task and higher theta/beta ratio at rest, in line with previous research findings. Furthermore, most of the ADHD subjects, during the attention test, presented a beta power falling outside the normality range defined on the normal children group.
dc.language.isoeng
dc.subjectEngineering (miscellaneous)
dc.subjectMedia Technology
dc.subjectPhysical Sciences
dc.subjectMühendislik ve Teknoloji
dc.subjectGeneral Engineering
dc.subjectHarita Mühendisliği-Geomatik
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectMühendislik
dc.subjectMÜHENDİSLİK, MULTİDİSİPLİNER
dc.titleEEG analysis of brain activity in Attention Deficit Hyperactivity Disorder during an Attention task
dc.typeBildiri
dc.contributor.departmentRhein Waal Univ Appl Sci , ,
dc.contributor.firstauthorID3385091


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