Classification of mild cognitive impairment based on handwriting dynamics and qEEG

J Chai, R Wu, A Li, C Xue, Y Qiang, J Zhao… - Computers in biology …, 2023 - Elsevier
Subtle changes in fine motor control and quantitative electroencephalography (qEEG) in
patients with mild cognitive impairment (MCI) are important in screening for early dementia …

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 …

EEG signal complexity measurements to enhance BCI-based stroke patients' rehabilitation

NK Al-Qazzaz, AA Aldoori, SHBM Ali, SA Ahmad… - Sensors, 2023 - mdpi.com
The second leading cause of death and one of the most common causes of disability in the
world is stroke. Researchers have found that brain–computer interface (BCI) techniques can …

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 …

Functional brain network based multi-domain feature fusion of hearing-Impaired EEG emotion identification

J Wang, Y Song, Q Gao, Z Mao - Biomedical Signal Processing and Control, 2023 - Elsevier
In the past, Electroencephalography (EEG)-based emotion identification research mainly
focused on healthy, disordered, or depressed subjects. Due to the lack of an emotion …

[PDF][PDF] Removal of malachite green from aqueous solution using Ficus benjamina activated carbon-nonmetal oxide synthesized by pyro carbonic acid microwave

KE Talib, SD Salman - Al-Khwarizmi Engineering Journal, 2023 - iasj.net
Activated carbon derived from Ficus Binjamina agro-waste synthesized by pyro carbonic
acid microwave method and treated with silicon oxide (SiO2) was used to enhance the …

[HTML][HTML] A reference free non-negative adaptive learning system for health care monitoring and adaptive physiological artifact elimination in brain waves

CSL Prasanna, MZU Rahman - Healthcare Analytics, 2023 - Elsevier
Electroencephalogram (EEG), also referred to as brain wave (BW), is a physiological
phenomenon that depicts how the human brain functions. Brain wave analysis is …

Transfer Learning and Hybrid Deep Convolutional Neural Networks Models for Autism Spectrum Disorder Classification from EEG Signals

NK Al-Qazzaz, AA Aldoori, A Buniya, SHBM Ali… - IEEE …, 2024 - ieeexplore.ieee.org
Autism spectrum disorder (ASD) is a developmental disease characterised by restricted and
repetitive behaviours, as well as difficulty in social communication and interaction, in …

[HTML][HTML] EEG Channel Selection for Stroke Patient Rehabilitation Using BAT Optimizer

MA Al-Betar, ZAA Alyasseri, NK Al-Qazzaz… - Algorithms, 2024 - mdpi.com
Stroke is a major cause of mortality worldwide, disrupts cerebral blood flow, leading to
severe brain damage. Hemiplegia, a common consequence, results in motor task loss on …