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 …
Complexity of EEG dynamics for early diagnosis of Alzheimer's disease using permutation entropy neuromarker
Background and objective Electroencephalogram (EEG) is one of the most demanded
screening tools that investigates the effects of Alzheimer's Disease (AD) on human brain …
screening tools that investigates the effects of Alzheimer's Disease (AD) on human brain …
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 …
Multichannel optimization with hybrid spectral-entropy markers for gender identification enhancement of emotional-based EEGs
Investigating gender differences based on emotional changes supports automatic
interpretation of human intentions and preferences. This allows emotion applications to …
interpretation of human intentions and preferences. This allows emotion applications to …
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 …
[HTML][HTML] Epileptic EEG activity detection for children using entropy-based biomarkers
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 …
abnormally synchronized neuronal activity in the patient's brain. For young children, in …
A Comparative Study on Feature Extraction Techniques for the Discrimination of Frontotemporal Dementia and Alzheimer's Disease with Electroencephalography in …
Early-stage Alzheimer's disease (AD) and frontotemporal dementia (FTD) share similar
symptoms, complicating their diagnosis and the development of specific treatment …
symptoms, complicating their diagnosis and the development of specific treatment …
[HTML][HTML] EEG channel selection for stroke patient rehabilitation using BAT optimizer
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 …
severe brain damage. Hemiplegia, a common consequence, results in motor task loss on …
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 …