Background A motor imagery (MI) based brain computer interface (BCI) is a challenging
nonmuscular connection system used to independently perform movement-related tasks. It …

A hybrid brain computer interface (BCI) system considered here is a combination of
electroencephalography (EEG) and functional near‐infrared spectroscopy (fNIRS). EEG …

Epilepsy is one of the world's most common neurological diseases when the morbidity of
brain activity occurs. People with epilepsy experience repeated seizures more than once in …

High-density Electroencephalogram (EEG) systems have proven to be useful in enhancing
the performance of emotion recognition algorithms. However, the high-dimensional nature of …

Channel selection is an improvement technique to optimize EEG-based BCI performance. In
previous studies, many channel selection methods—mostly based on spatial information of …

Brain‐computer interface (BCI) provides a new communication channel between human
brain and computer. In order to eliminate uncorrelated channels to improve BCI performance …

The integration of physiological signals with advanced artificial intelligence (AI) algorithms
has profoundly contributed to an array of clinical applications, including speech disorder …

This paper presents an automatic selected channel method for improving brain-computer
interface (BCI) performance. Finding an effective channel composition in a BCI system is …

Brain-computer interface (BCI) is a system that can translate, manage, and recognize human
brain activity. One of the devices used in the BCI system is Electroencephalogram (EEG) …

Stroke can be interpreted as a dysfunction of the nervous system that occurs suddenly and
caused by blockage of blood vessels in the brain. Generally, the effort used to reduce stroke …