Stroke is a serious neurological disease that may lead to long-term disabilities and even
death for stroke patients worldwide. The acute period,(1 mo post-stroke), is crucial for …

Introduction: A brain-computer interface (BCI) is a rapidly growing cutting-edge technology
in which a communication pathway is built between the human brain and computer. The BCI …

Although pedestrian detection technology is constantly improving, pedestrian detection
remains challenging because of the uncertainty and diversity of pedestrians in different …

This paper presents a self-adaptive autonomous online learning through a general type-2
fuzzy system (GT2 FS) for the motor imagery (MI) decoding of a brain-machine interface …

Abstract Recently, Brain computer Interface (BCI), plays an important role in recognizing
brain activities and rehabilitation. Motor imagery (MI) classification based on …

Diabetes is a complex disease that can lead to serious health complications if left
unmanaged. Early detection and treatment of diabetes is crucial, and data analysis and …

One of the major problems associated with the motor imagery (MI) electroencephalogram
(EEG) based brain-computer interface (BCI) classifications is the informative ambiguities …

Background Motor impairment is a common consequence of stroke causing difficulty in
independent movement. The first month of post-stroke rehabilitation is the most effective …

An EEG classifier is proposed for application in the analysis of motor imagery (MI) EEG data
from a brain–computer interface (BCI) competition in this study. Applying subject-action …

It has been confirmed that motor imagery (MI) and motor execution (ME) share a subset of
mechanisms underlying motor cognition. In contrast to the well-studied laterality of upper …