Real-time EEG–EMG human–machine interface-based control system for a lower-limb exoskeleton
SY Gordleeva, SA Lobov, NA Grigorev… - Ieee …, 2020 - ieeexplore.ieee.org
This article presents a rehabilitation technique based on a lower-limb exoskeleton
integrated with a human-machine interface (HMI). HMI is used to record and process …
integrated with a human-machine interface (HMI). HMI is used to record and process …
Improving performance in motor imagery BCI-based control applications via virtually embodied feedback
JW Choi, S Huh, S Jo - Computers in Biology and Medicine, 2020 - Elsevier
Abstract Objective Brain-computer interfaces (BCIs) based on motor imagery (MI) are
commonly used for control applications. However, these applications require strong and …
commonly used for control applications. However, these applications require strong and …
EEG differentiates left and right imagined Lower Limb movement
Background Identifying which EEG signals distinguish left from right leg movements in
imagined lower limb movement is crucial to building an effective and efficient brain …
imagined lower limb movement is crucial to building an effective and efficient brain …
Enhancement of event-related desynchronization in motor imagery based on transcranial electrical stimulation
J Xie, M Peng, J Lu, C Xiao, X Zong, M Wang… - Frontiers in human …, 2021 - frontiersin.org
Due to the individual differences controlling brain-computer interfaces (BCIs), the
applicability and accuracy of BCIs based on motor imagery (MI-BCIs) are limited. To improve …
applicability and accuracy of BCIs based on motor imagery (MI-BCIs) are limited. To improve …
Physiologic signaling and viability of the muscle cuff regenerative peripheral nerve interface (MC-RPNI) for intact peripheral nerves
Background. Robotic exoskeleton devices have become a promising modality for restoration
of extremity function in individuals with limb loss or functional weakness. However, there …
of extremity function in individuals with limb loss or functional weakness. However, there …
Improvement of brain–computer interface in motor imagery training through the designing of a dynamic experiment and FBCSP
CL Lin, LT Chen - Heliyon, 2023 - cell.com
Motor imagery (MI) can produce a specific brain pattern when the subject imagines
performing a particular action without any actual body movements. According to related …
performing a particular action without any actual body movements. According to related …
A multi-modal modified feedback self-paced BCI to control the gait of an avatar
Brain–computer interfaces (BCIs) have been used to control the gait of a virtual self-avatar
with a proposed application in the field of gait rehabilitation. Some limitations of existing …
with a proposed application in the field of gait rehabilitation. Some limitations of existing …
[HTML][HTML] Mental individuation of imagined finger movements can be achieved using TMS-based neurofeedback
Neurofeedback (NF) in combination with motor imagery (MI) can be used for training
individuals to volitionally modulate sensorimotor activity without producing overt movements …
individuals to volitionally modulate sensorimotor activity without producing overt movements …
Brain symmetry analysis during the use of a BCI based on motor imagery for the control of a lower-limb exoskeleton
Brain–Computer Interfaces (BCI) are systems that allow external devices to be controlled by
means of brain activity. There are different such technologies, and electroencephalography …
means of brain activity. There are different such technologies, and electroencephalography …
Sub-band cascaded csp-based deep transfer learning for cross-subject lower limb motor imagery classification
Lower limb motor imagery (MI) classification is a challenging research topic in brain–
computer interface (BCI) due to excessively close physiological representation of left and …
computer interface (BCI) due to excessively close physiological representation of left and …