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Title: Investigating EEG Based Marker for Diagnosis of Mathematical Difficulties
Authors: Nassehi, Farhad
Özdemir, Mertcan
Eroğul, Osman
Keywords: Hjorth parameters
Mathematical difficulty
Theta band
Alpha band
Issue Date: 2020
Publisher: IEEE
Source: 28th Signal Processing and Communications Applications Conference (SIU) -- OCT 05-07, 2020 -- ELECTR NETWORK
Series/Report no.: Signal Processing and Communications Applications Conference
Abstract: Mathematical difficulty in mathematics, also known as Dyscalculia, is a learning disability that makes it difficult to comprehend numbers and symbols and to perform mathematical calculations. Generally, it's known as the mathematical version of dyslexia. In this study, Hjorth parameters were used to analyze the change of EEG signals during mental arithmetic task for multifractal analysis of EEG signals. Other features such as relative power and statistical properties were also analyzed. This study may provide an alternative diagnostic method for some psychological disorders such as arithmetic learning and difficulties in understanding, and mathematical difficulties. The aim of the study is to provide a simple test and feature extraction for the diagnosis of mental illnesses and mathematics difficulties at an early age. For this purpose, the data are taken from the same number of participants who do good and bad at math problems. We found that ratio of theta band's amplitudes on alpha band's amplitude could be a main feature to investigate the mathematical difficulties.
ISBN: 978-1-7281-7206-4
ISSN: 2165-0608
Appears in Collections:Biyomedikal Mühendisliği Bölümü / Department of Biomedical Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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