Classification of EEG signals from young adults with dyslexia combining a Brain Computer Interface device and an Interactive Linguistic Software Tool

• Published in: Biomedical signal processing and control Vol. 76; p. 103646
• Main Authors: Christodoulides, Pavlos, Miltiadous, Andreas, Tzimourta, Katerina D., Peschos, Dimitrios, Ntritsos, Georgios, Zakopoulou, Victoria, Giannakeas, Nikolaos, Astrakas, Loukas G., Tsipouras, Markos G., Tsamis, Konstantinos I., Glavas, Euripidis, Tzallas, Alexandros T.
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.07.2022
• Subjects: Brain Computer Interface; Dyslexia; EEG; Learning disorders; Random Forests; Wearable device; Dyslexia; Random Forests; Wearable device; Learning disorders; Brain Computer Interface; EEG

The magnocellular pathway deficit theory has long been considered to be a possible cause for dyslexia, providing an alternative method to explain auditory and visual processing deficits. Several studies have attempted to classify these deficits with the application of machine learning in anatomical...