Electroencephalography (EEG) is a non-invasive technique used to record the brain's
evoked and induced electrical activity from the scalp. Artificial intelligence, particularly …

Abstract In recent times, Motor Imagery (MI) tasks have gained great attraction among
researchers in the field of Brain-Computer Interface (BCI). The MI tasks are the core field of …

The Brain‐Computer Interface (BCI) permits persons with impairments to interact with the
real world without using the neuromuscular pathways. BCIs are based on artificial …

Background In the study of brain-computer interfaces (BCIs) based on steady-state visual
evoked potentials (SSVEPs), how to improve the classification accuracies of BCIs has …

Motor disability affects a person's ability to move and maintain balance. To remove this pain
from the society, brain computer interface (BCI) system with the assistance of motor imagery …

Brain computer interaction (BCI) based on EEG can help patients with limb dyskinesia to
carry out daily life and rehabilitation training. However, due to the low signal-to-noise ratio …

Rapid and precise measurement of the calorific value of coal is crucial for coal chemical
enterprises. However, due to the wide variety of coal sources and the diverse types of coal …

In this article, we provide a brief overview of the EEG-based classification of motor imagery
activities using machine learning methods. We examined the effect of data segmentation …

Objective For decades, a great deal of interest in investigating brain network functional
connective features has arisen in brain-computer interfaces (BCIs) based on steady-state …

Background The development of Brain-Computer Interface (BCI) technology has brought
tremendous potential to various fields. In recent years, prominent research has focused on …