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 …

Robust EEG based biomarkers to detect Alzheimer's disease

AH Al-Nuaimi, M Blūma, SS Al-Juboori, CS Eke… - Brain Sciences, 2021 - mdpi.com
Biomarkers to detect Alzheimer's disease (AD) would enable patients to gain access to
appropriate services and may facilitate the development of new therapies. Given the large …

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 …

[HTML][HTML] Nonlinear EEG parameters of emotional perception in patients with moderate traumatic brain injury, coma, stroke and schizophrenia

GV Portnova, MS Atanov - AIMS neuroscience, 2018 - ncbi.nlm.nih.gov
Objective The aim of this study was to determine the EEG changes induced by emotional
non-verbal sounds using nonlinear signals' features and also to examine the subjective …

Comparing test-retest reliability of entropy methods: Complexity analysis of resting-state fMRI

Y Niu, J Sun, B Wang, W Hussain, C Fan, R Cao… - IEEE …, 2020 - ieeexplore.ieee.org
In recent years, there has been growing interest in studying the complexity of resting-state
functional magnetic resonance imaging (rs-fMRI) brain signals. As one of the most …

The role of spectral power ratio in characterizing emotional EEG for gender identification

NK Al-Qazzaz, MK Sabir, SHM Ali… - 2020 IEEE-EMBS …, 2021 - ieeexplore.ieee.org
The motivation of this study was to perceive the gender variations by studying the emotional
states (ie angry, anxiety, disgust, happiness, sadness and surprise). Emotional …