EEG-based BCI control schemes for lower-limb assistive-robots
Over recent years, brain-computer interface (BCI) has emerged as an alternative
communication system between the human brain and an output device. Deciphered intents …
communication system between the human brain and an output device. Deciphered intents …
A graph theory-based modeling of functional brain connectivity based on EEG: a systematic review in the context of neuroergonomics
LE Ismail, W Karwowski - Ieee Access, 2020 - ieeexplore.ieee.org
Graph theory analysis, a mathematical approach, has been applied in brain connectivity
studies to explore the organization of network patterns. The computation of graph theory …
studies to explore the organization of network patterns. The computation of graph theory …
An EEG/EMG/EOG-based multimodal human-machine interface to real-time control of a soft robot hand
J Zhang, B Wang, C Zhang, Y **ao… - Frontiers in …, 2019 - frontiersin.org
Brain-computer interface (BCI) technology shows potential for application to motor
rehabilitation therapies that use neural plasticity to restore motor function and improve …
rehabilitation therapies that use neural plasticity to restore motor function and improve …
Understanding minds in real-world environments: toward a mobile cognition approach
There is a growing body of evidence that important aspects of human cognition have been
marginalized, or overlooked, by traditional cognitive science. In particular, the use of …
marginalized, or overlooked, by traditional cognitive science. In particular, the use of …
Methodological aspects of EEG and body dynamics measurements during motion
PMR Reis, F Hebenstreit, F Gabsteiger… - Frontiers in human …, 2014 - frontiersin.org
EEG involves the recording, analysis, and interpretation of voltages recorded on the human
scalp which originate from brain gray matter. EEG is one of the most popular methods of …
scalp which originate from brain gray matter. EEG is one of the most popular methods of …
An empirical comparison of neural networks and machine learning algorithms for EEG gait decoding
Abstract Previous studies of Brain Computer Interfaces (BCI) based on scalp
electroencephalography (EEG) have demonstrated the feasibility of decoding kinematics for …
electroencephalography (EEG) have demonstrated the feasibility of decoding kinematics for …
Recalibration of inhibitory control systems during walking-related dual-task interference: a mobile brain-body imaging (MOBI) study
Walking while simultaneously performing cognitively demanding tasks such as talking or
texting are typical complex behaviors in our daily routines. Little is known about neural …
texting are typical complex behaviors in our daily routines. Little is known about neural …
Sitting and standing intention can be decoded from scalp EEG recorded prior to movement execution
Low frequency signals recorded from non-invasive electroencephalography (EEG), in
particular movement-related cortical potentials (MRPs), are associated with preparation and …
particular movement-related cortical potentials (MRPs), are associated with preparation and …
[PDF][PDF] Eye movements as a window to cognitive processes
Eye movement research is a highly active and productive research field. Here we focus on
how the embodied nature of eye movements can act as a window to the brain and the mind …
how the embodied nature of eye movements can act as a window to the brain and the mind …
Cortical control of upright stance in elderly
RA Ozdemir, JL Contreras-Vidal, WH Paloski - Mechanisms of ageing and …, 2018 - Elsevier
This study examined differences between young and elderly volunteers in cortical
involvement to human posture control during quiet stance with normal and altered sensory …
involvement to human posture control during quiet stance with normal and altered sensory …