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Brain–computer interface and neurofeedback technologies: current state, problems and clinical prospects. In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. Personalized features for attention detection in children with Attention Deficit Hyperactivity Disorder. Current psychiatry reports, 21(6), 1-7.įahimi, F., Guan, C., Goh, W. Neurofeedback as a treatment intervention in ADHD: Current evidence and practice. IEEE.Įnriquez-Geppert, S., Smit, D., Pimenta, M. In 2015 International Conference on Interactive Technologies and Games (pp. Computer games for user engagement in Attention Deficit Hyperactivity Disorder (ADHD) monitoring and therapy. BioMed research international, 2017.Ĭraven, M. Brain-computer interface for clinical purposes: cognitive assessment and rehabilitation. Brain-Computer Interfaces, 6(1-2), 25-35.Ĭarelli, L., Solca, F., Faini, A., Meriggi, P., Sangalli, D., Cipresso, P., Riva, G., Ticozzi, N., Ciammola, A., Silani, V., & Poletti, B. Brain connectivity evaluation during selective attention using EEG-based brain-computer interface. IEEE.īorhani, S., Abiri, R., Jiang, Y., Berger, T., & Zhao, X. In 2016 IEEE 11th Colombian Computing Conference (CCC) (pp. Quantifying the brain activity through an EEG signal processing dedicated toolbox. Influence of a BCI neurofeedback videogame in children with ADHD. In Extended Abstracts of the Annual Symposium on Computer-Human Interaction in Play Companion Extended Abstracts (pp.
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The Development of" Orbit" The Collaborative BCI Game for Children with AD (H) D. Current advances in neurofeedback techniques for the treatment of ADHD. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. A 3D learning playground for potential attention training in ADHD: A brain computer interface approach.
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IEEE Transactions on Instrumentation and Measurement, 67(7), 1512-1520.Īli, A., & Puthusserypady, S. FOCUS: Detecting ADHD patients by an EEG-based serious game. In 2017 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (pp. Feasibility of detecting ADHD patients' attention levels by classifying their EEG signals. E., Elsharnouby, M., Shirmohammadi, S., & Eddin, A. In this study we conducted a semi-systematic review, with the goal of gathering findings from empirical and theoretical works in order to deepen our understanding about the use of Brain Computer Interface (BCI)-based for children and adults with ADHD, as a method to ameliorate the symptoms of their disorder.Īlchalabi, A. It has been found that interactive multi-player games are ideal from a therapeutic and long-term usage point of view due to their higher social motivation and cooperation among children with ADHD. Neurofeedback treatments have been shown as effective for training the attention ability in children with ADHD. It can persist into adulthood with negative academic and socio-professional outcomes. AbstractĪttention Deficit Hyperactivity Disorder (ADHD) is a neurological condition characterized by cognitive task difficulty, impulsivity, hyperactivity and loss of attention. Brain-computer interface BCI Attention deficit hyperactivity disorder ADHD Serious games.