Electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) stand as
state-of-the-art techniques for non-invasive functional neuroimaging. On a unimodal basis …

As a relatively new field of neurology and computer science, brain computer interface (BCI)
has many established and burgeoning applications across scientific disciplines. Many …

There has been considerable interest in applying electroencephalography (EEG) and
functional near-infrared spectroscopy (fNIRS) simultaneously for multimodal assessment of …

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 …

Introduction Many research papers have reported successful implementation of hybrid brain-
computer interfaces by complementarily combining EEG and fNIRS, to improve classification …

Abstract Background and Objective: The simultaneous execution of a motor and cognitive
dual task may lead to the deterioration of task performance in one or both tasks due to …

The implementation of control algorithms oriented to robotic assistance and rehabilitation
tasks for people with motor disabilities has been of increasing interest in recent years …

Nowadays, there are several diseases which affect different systems of the body, producing
changes in the correct functioning of the organism and the people lifestyles. One of them is …

The integration of electroencephalography (EEG) and functional near-infrared spectroscopy
(fNIRS) can facilitate the advancement of brain-computer interfaces (BCIs). However …

Emotion recognition remains an intricate task at the crossroads of psychology and artificial
intelligence, necessitating real-time, accurate discernment of implicit emotional states. Here …