EEG feature fusion for motor imagery: A new robust framework towards stroke patients rehabilitation
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 …
causes of disability. Several approaches have been proposed to manage stroke patient …
Discrimination of stroke-related mild cognitive impairment and vascular dementia using EEG signal analysis
Stroke survivors are more prone to developing cognitive impairment and dementia.
Dementia detection is a challenge for supporting personalized healthcare. This study …
Dementia detection is a challenge for supporting personalized healthcare. This study …
An integrated entropy-spatial framework for automatic gender recognition enhancement of emotion-based EEGs
Investigating gender differences based on emotional changes using electroencephalogram
(EEG) is essential to understand various human behavior in the individual situation in our …
(EEG) is essential to understand various human behavior in the individual situation in our …
Electroencephalogram profiles for emotion identification over the brain regions using spectral, entropy and temporal biomarkers
Identifying emotions has become essential for comprehending varied human behavior
during our daily lives. The electroencephalogram (EEG) has been adopted for eliciting …
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 …
understand various human behaviors in our daily life. Ten students from the University of …
Automatic diagnosis of epileptic seizures using entropy-based features and multimodel deep learning approaches
Epilepsy is one of the most common brain diseases, characterised by repeated seizures that
occur on a regular basis. During a seizure, a patient's muscles flex uncontrollably, causing a …
occur on a regular basis. During a seizure, a patient's muscles flex uncontrollably, causing a …
Classification enhancement for post-stroke dementia using fuzzy neighborhood preserving analysis with QR-decomposition
The aim of the present study was to discriminate the electroencephalogram (EEG) of 5
patients with vascular dementia (VaD), 15 patients with stroke-related mild cognitive …
patients with vascular dementia (VaD), 15 patients with stroke-related mild cognitive …
Identifying amnestic mild cognitive impairment with convolutional neural network adapted to the spectral entropy heat map of the electroencephalogram
X Li, Y Liu, J Kang, Y Sun, Y Xu, Y Yuan… - Frontiers in Human …, 2022 - frontiersin.org
Mild cognitive impairment (MCI) is a preclinical stage of Alzheimer's disease (AD), and early
diagnosis and intervention may delay its deterioration. However, the electroencephalogram …
diagnosis and intervention may delay its deterioration. However, the electroencephalogram …
[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 …
acid microwave method and treated with silicon oxide (SiO2) was used to enhance the …
[PDF][PDF] Entropy-based markers of EEG background activity of stroke-related mild cognitive impairment and vascular dementia patients
The aim of the present study was to develop valuable and reliable indices of post-stroke
dementia particularly vascular dementia (VaD) using entropy-based features extracted from …
dementia particularly vascular dementia (VaD) using entropy-based features extracted from …