FOCUS: Detecting ADHD patients by an EEG-based serious game
AE Alchalabi, S Shirmohammadi… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Attention deficit hyperactivity disorder (ADHD), categorized by the lack of attention and
focus, is one of the most common cognitive disorders. Since electroencephalogram (EEG) …
focus, is one of the most common cognitive disorders. Since electroencephalogram (EEG) …
Using psychophysiological sensors to assess mental workload during web browsing
A Jimenez-Molina, C Retamal, H Lira - Sensors, 2018 - mdpi.com
Knowledge of the mental workload induced by a Web page is essential for improving users'
browsing experience. However, continuously assessing the mental workload during a …
browsing experience. However, continuously assessing the mental workload during a …
Multiband tangent space mapping and feature selection for classification of EEG during motor imagery
Objective. When designing multiclass motor imagery-based brain–computer interface (MI-
BCI), a so-called tangent space mapping (TSM) method utilizing the geometric structure of …
BCI), a so-called tangent space mapping (TSM) method utilizing the geometric structure of …
Analysis of EEG spectrum bands using power spectral density for pleasure and displeasure state
A Ameera, A Saidatul, Z Ibrahim - IOP conference series …, 2019 - iopscience.iop.org
The technology of reading human mental states is a leading innovation in the biomedical
engineering field. EEG signal processing is going to help us to explore the uniqueness of …
engineering field. EEG signal processing is going to help us to explore the uniqueness of …
Framework for Accurate Classification of Self-Reported Stress From Multisession Functional MRI Data of Veterans With Posttraumatic Stress
Background: Posttraumatic stress disorder (PTSD) is a significant burden among combat
Veterans returning from the wars in Iraq and Afghanistan. While empirically supported …
Veterans returning from the wars in Iraq and Afghanistan. While empirically supported …
[Retracted] Classification of Resting‐State Status Based on Sample Entropy and Power Spectrum of Electroencephalography (EEG)
An electroencephalogram (EEG) is a significant source of diagnosing brain issues. It is also
a mediator between the external world and the brain, especially in the case of any mental …
a mediator between the external world and the brain, especially in the case of any mental …
Research on mental load state recognition based on combined information sources
H Wang, X Zheng, T Hao, Y Yu, K Xu… - … Signal Processing and …, 2023 - Elsevier
Whether from a theoretical research perspective or a practical situation, mental loads lead to
lower productivity, worse job quality, and industrial accidents, and evaluating the mental …
lower productivity, worse job quality, and industrial accidents, and evaluating the mental …
Feasibility of detecting ADHD patients' attention levels by classifying their EEG signals
AE Alchalabi, M Elsharnouby… - 2017 IEEE …, 2017 - ieeexplore.ieee.org
Attention Deficit Hyperactivity Disorder (ADHD), characterized by the lack of attention and
focus, is one of the most spread cognitive disorders. Since electroencephalogram (EEG) …
focus, is one of the most spread cognitive disorders. Since electroencephalogram (EEG) …
Stress detection through single channel real-time EEG signal from temporal lobe using machine learning model
FE Chowdhury, M Chowdhury… - 2023 14th …, 2023 - ieeexplore.ieee.org
Electroencephalography (EEG) is a prompt method for brain signal recording with good
temporal resolution, being comparatively cheaper and portable. Stress detection to help …
temporal resolution, being comparatively cheaper and portable. Stress detection to help …
Upper limb movement recognition utilising EEG and EMG signals for rehabilitative robotics
Upper limb movement classification, which maps input signals to the target activities, is a key
building block in the control of rehabilitative robotics. Classifiers are trained for the …
building block in the control of rehabilitative robotics. Classifiers are trained for the …