Objective: Electroencephalography (EEG) is a non-invasive technique used to record
cortical neurons' electrical activity using electrodes placed on the scalp. It has become a …

Objective. Powered exoskeletons promise to increase the quality of life of people with lower-
body paralysis or weakened legs by assisting or restoring legged mobility while providing …

Objective: Artifact subspace reconstruction (ASR) is an automatic, online-capable,
component-based method that can effectively remove transient or large-amplitude artifacts …

One of the challenges in motor imagery (MI) classification tasks is finding an easy-handled
electroencephalogram (EEG) representation method which can preserve not only temporal …

An important challenge in developing a movement-related cortical potential (MRCP)-based
brain-machine interface (BMI) is an accurate decoding of the user intention for real-world …

This study demonstrates the feasibility of detecting motor intent from brain activity of chronic
stroke patients using an asynchronous electroencephalography (EEG)-based brain machine …

This review examined 83 articles using neuroimaging modalities to investigate the neural
correlates underlying static and dynamic human balance control, with aims to support future …

Wearable sensors for activity monitoring currently are being designed and developed,
driven by an increasing demand in health care for noninvasive patient monitoring and …

Event-related desynchronization and synchronization (ERD/S) and movement-related
cortical potential (MRCP) play an important role in brain-computer interfaces (BCI) for lower …

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 …