Complexity analysis of EEG, MEG, and fMRI in mild cognitive impairment and Alzheimer's disease: a review

J Sun, B Wang, Y Niu, Y Tan, C Fan, N Zhang, J Xue… - Entropy, 2020 - mdpi.com
Alzheimer's disease (AD) is a degenerative brain disease with a high and irreversible
incidence. In recent years, because brain signals have complex nonlinear dynamics, there …

EEG feature fusion for motor imagery: A new robust framework towards stroke patients rehabilitation

NK Al-Qazzaz, ZAA Alyasseri, KH Abdulkareem… - Computers in biology …, 2021 - Elsevier
Stroke is the second foremost cause of death worldwide and is one of the most common
causes of disability. Several approaches have been proposed to manage stroke patient …

Resting-state prefrontal EEG biomarkers in correlation with MMSE scores in elderly individuals

J Choi, B Ku, YG You, M Jo, M Kwon, Y Choi, S Jung… - Scientific reports, 2019 - nature.com
We investigated whether cognitive decline could be explained by resting-state
electroencephalography (EEG) biomarkers measured in prefrontal regions that reflect the …

Discrimination of stroke-related mild cognitive impairment and vascular dementia using EEG signal analysis

NK Al-Qazzaz, SHBM Ali, SA Ahmad, MS Islam… - Medical & biological …, 2018 - Springer
Stroke survivors are more prone to developing cognitive impairment and dementia.
Dementia detection is a challenge for supporting personalized healthcare. This study …

Negative effect of methyl bromide fumigation work on the central nervous system

MG Park, J Choi, YS Hong, CG Park, BG Kim, SY Lee… - PLoS …, 2020 - journals.plos.org
Methyl bromide (MB) is a fumigant that has been widely used for killing pests on plants in
trade, soils, and structures worldwide due to its excellent permeability and insecticidal effect; …

An integrated entropy-spatial framework for automatic gender recognition enhancement of emotion-based EEGs

NK Al-Qazzaz, MK Sabir, AH Al-Timemy… - Medical & Biological …, 2022 - Springer
Investigating gender differences based on emotional changes using electroencephalogram
(EEG) is essential to understand various human behavior in the individual situation in our …

Multichannel optimization with hybrid spectral-entropy markers for gender identification enhancement of emotional-based EEGs

NK Al-Qazzaz, MK Sabir, SHBM Ali, SA Ahmad… - IEEE …, 2021 - ieeexplore.ieee.org
Investigating gender differences based on emotional changes supports automatic
interpretation of human intentions and preferences. This allows emotion applications to …

Electroencephalogram profiles for emotion identification over the brain regions using spectral, entropy and temporal biomarkers

NK Al-Qazzaz, MK Sabir, SHBM Ali, SA Ahmad… - Sensors, 2019 - mdpi.com
Identifying emotions has become essential for comprehending varied human behavior
during our daily lives. The electroencephalogram (EEG) has been adopted for eliciting …

Complexity and Entropy Analysis to Improve Gender Identification from Emotional‐Based EEGs

NK Al-Qazzaz, MK Sabir… - Journal of …, 2021 - Wiley Online Library
Investigating gender differences based on emotional changes becomes essential to
understand various human behaviors in our daily life. Ten students from the University of …

[HTML][HTML] Epileptic EEG activity detection for children using entropy-based biomarkers

SNS Kbah, NK Al-Qazzaz, SH Jaafer, MK Sabir - Neuroscience Informatics, 2022 - Elsevier
Seizures, which last for a while and are a symptom of epilepsy, are bouts of excessive and
abnormally synchronized neuronal activity in the patient's brain. For young children, in …