The brain–computer interface (BCI) is an emerging technology that has the potential to
revolutionize the world, with numerous applications ranging from healthcare to human …

Smart healthcare is a framework that utilizes technologies such as wearable devices, the
Internet of Medical Things (IoMT), sophisticated machine learning algorithms, and wireless …

The brain-computer interface (BCI) is a cutting-edge technology that has the potential to
change the world. Electroencephalogram (EEG) motor imagery (MI) signal has been used …

Abstract Background and Objective: Artificial Intelligence (AI) has shown significant
advancements across several industries, including healthcare, using better fusion …

In recent years, neural networks and especially deep architectures have received
substantial attention for EEG signal analysis in the field of brain-computer interfaces (BCIs) …

Electroencephalography-based motor imagery (EEG-MI) classification is a critical
component of the brain-computer interface (BCI), which enables people with physical …

Motor imagery (MI) EEG signals are considered a promising paradigm for BCI systems that
enable humans to communicate with the outside world through the brain and have a wide …

Recognition of electroencephalographic (EEG) signals highly affect the efficiency of non-
invasive brain-computer interfaces (BCIs). While recent advances of deep-learning (DL) …

Brain–computer interface (BCI) is an innovative technology that utilizes artificial intelligence
(AI) and wearable electroencephalography (EEG) sensors to decode brain signals and …

In recent years, the contributions of deep learning have had a phenomenal impact on
electroencephalography-based brain-computer interfaces. While the decoding accuracy of …