EEG‐based computer aided diagnosis of autism spectrum disorder using wavelet, entropy, and ANN
Autism spectrum disorder (ASD) is a type of neurodevelopmental disorder with core
impairments in the social relationships, communication, imagination, or flexibility of thought …
impairments in the social relationships, communication, imagination, or flexibility of thought …
An embedded implementation based on adaptive filter bank for brain–computer interface systems
Background Brain–computer interface (BCI) is a new communication pathway for users with
neurological deficiencies. The implementation of a BCI system requires complex …
neurological deficiencies. The implementation of a BCI system requires complex …
A dynamic filtering DF-RNN deep-learning-based approach for EEG-based neurological disorders diagnosis
G Bouallegue, R Djemal, SA Alshebeili… - IEEE …, 2020 - ieeexplore.ieee.org
Filtering of unwanted signals has a great impact on the performance of EEG signal
processing applied to neurological disorders diagnosis. It is so difficult to remove …
processing applied to neurological disorders diagnosis. It is so difficult to remove …
Three-class EEG-based motor imagery classification using phase-space reconstruction technique
Over the last few decades, brain signals have been significantly exploited for brain-computer
interface (BCI) applications. In this paper, we study the extraction of features using event …
interface (BCI) applications. In this paper, we study the extraction of features using event …
Single-channel-based automatic drowsiness detection architecture with a reduced number of EEG features
I Belakhdar, W Kaaniche, R Djemal, B Ouni - Microprocessors and …, 2018 - Elsevier
This paper presents efficient EEG system for drowsiness detection. The proposed system is
able to provide stable performances regardless their intrinsic features of drivers and is …
able to provide stable performances regardless their intrinsic features of drivers and is …
A dynamic and self-adaptive classification algorithm for motor imagery EEG signals
Background Brain–computer interface (BCI) is a communication pathway applied for
pathological analysis or functional substitution. BCI based on functional substitution enables …
pathological analysis or functional substitution. BCI based on functional substitution enables …
A hardware/software prototype of EEG-based BCI system for home device control
This paper presents a design exploration of a new EEG-based embedded system for home
devices control. Two main issues are addressed in this work: the first one consists of an …
devices control. Two main issues are addressed in this work: the first one consists of an …
A brain controlled command-line interface to enhance the accessibility of severe motor disabled people to personnel computer
S Gannouni, K Belwafi, MR Al-Sulmi, MD Al-Farhood… - Brain Sciences, 2022 - mdpi.com
There are many applications controlled by the brain signals to bridge the gap in the digital
divide between the disabled and the non-disabled people. The deployment of novel …
divide between the disabled and the non-disabled people. The deployment of novel …
A motor-imagery channel-selection method based on SVM-CCA-CS
Q Wang, T Cao, D Liu, M Zhang, JY Lu… - Measurement …, 2020 - iopscience.iop.org
In electroencephalography, multi-channel electroencephalogram (EEG) signals are usually
utilized to improve classification accuracy. However, a large set of EEG channels increases …
utilized to improve classification accuracy. However, a large set of EEG channels increases …
EEG-based BCI system to detect fingers movements
The advancement of assistive technologies toward the restoration of the mobility of
paralyzed and/or amputated limbs will go a long way. Herein, we propose a system that …
paralyzed and/or amputated limbs will go a long way. Herein, we propose a system that …