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Relationship between objective and subjective cognitive load measurements in multimedia learning
(ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND, 2020)
The aim of this study is to compare subjective and objective cognitive load measurements in a multimedia learning environment. For this purpose, 20 university students studied in multimedia environments designed by researchers ...
Improving short –term memory performance using alpha band neurofeedback
(Abdullah Gül Üniversitesi, 2018)
Age-related memory degradation is a serious problem for individuals and there is no known satisfying medical treatment of memory disorders such as Alzheimer. Recent advances in BCI technology enable us to measure brain ...
Like/dislike analysis using EEG: Determination of most discriminative channels and frequencies
(ELSEVIER IRELAND LTD, 2014)
In this study, we have analyzed electroencephalography (EEG) signals to investigate the following issues, (i) which frequencies and EEG channels could be relatively better indicators of preference (like or dislike decisions) ...
Feature Extraction and Classification in A Two-State Brain-Computer Interface
(IEEE, 2015)
Brain Computer Interface (BCI) technology is used to help patients who do not have control over motor neurons such as ALS or paralyzed patients, to communicate with outer world. This work aims to classify motor imageries ...
Parameter investigation of topological data analysis for EEG signals
(ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND, 01.01.2021)
Topological data analysis (TDA) methods have become appealing in EEG signal processing, because they may help the scientists explore new features of complex and large amount of data by simplifying the process from a ...
Sliding Window and Filterbank Utilization on Riemannian Geometry
(Institute of Electrical and Electronics Engineers Inc., 2022)
Riemannian geometry-based signal processing
approaches on EEG signals provides similar decoding
performance compared to state-of-the-art methods. However,
Riemannian geometry framework requires predefine EEG
signal ...
Detection of Epileptic Seizures with Tangent Space Mapping Features of EEG Signals
(Institute of Electrical and Electronics Engineers Inc., 2021)
Detection of epileptic seizures from EEG signals is well-studied topic for the last couple of decades. Lately, automated signal processing and machine learning methods were developed to detect epileptic seizures. However, ...
