Human gait is a complex activity that requires high coordination between the central nervous
system, the limb, and the musculoskeletal system. More research is needed to understand …

Gait and balance impairments are frequently considered as the most significant concerns
among individuals suffering from neurological diseases. Robot-assisted gait training (RAGT) …

Non-invasive brain-computer interfaces (BCIs) have been widely used for neural decoding,
linking neural signals to control devices. Hybrid BCI systems using electroencephalography …

Brain–computer interface (BCI) based on motor imagery (MI) can control external
applications by decoding different brain physiological signals, such as …

Objective. Complex spatiotemporal neural activity encodes rich information related to
behavior and cognition. Conventional research has focused on neural activity acquired …

Covering the latest cutting-edge techniques in biomedical signal processing while
presenting a coherent treatment of various signal processing methods and applications, this …

Over the last few decades, neuroimaging techniques have transformed our understanding of
the brain and the effect of neurological conditions on brain function. More recently, light …

FNIRS pre-processing and processing methodologies are very important—how a researcher
chooses to process their data can change the outcome of an experiment. The purpose of this …

Neurovascular coupling is a key physiological mechanism that occurs in the healthy human
brain, and understanding this process has implications for understanding the aging and …

In this decade Brain-Computer Interface (BCI) technology has entered mainstream
humancomputer interaction (HCI) research for non-clinical applications. BCI has become …