Decoding movement-related cortical potentials based on subject-dependent and section-wise spectral filtering
An important challenge in develo** a movement-related cortical potential (MRCP)-based
brain-machine interface (BMI) is an accurate decoding of the user intention for real-world …
brain-machine interface (BMI) is an accurate decoding of the user intention for real-world …
Decoding EEG rhythms during action observation, motor imagery, and execution for standing and sitting
Event-related desynchronization and synchronization (ERD/S) and movement-related
cortical potential (MRCP) play an important role in brain-computer interfaces (BCI) for lower …
cortical potential (MRCP) play an important role in brain-computer interfaces (BCI) for lower …
The effects of chiropractic spinal manipulation on central processing of tonic pain-a pilot study using standardized low-resolution brain electromagnetic tomography …
The objectives of the study were to investigate changes in pain perception and neural
activity during tonic pain due to altered sensory input from the spine following chiropractic …
activity during tonic pain due to altered sensory input from the spine following chiropractic …
Induction of neural plasticity using a low-cost open source brain-computer interface and a 3D-printed wrist exoskeleton
Brain-computer interfaces (BCIs) have been proven to be useful for stroke rehabilitation, but
there are a number of factors that impede the use of this technology in rehabilitation clinics …
there are a number of factors that impede the use of this technology in rehabilitation clinics …
Single-trial movement intention detection estimation in patients with Parkinson's disease: A movement-related cortical potential study
M Jochumsen, KB Poulsen, SL Sørensen… - Journal of Neural …, 2024 - iopscience.iop.org
Objectives. Parkinson patients often suffer from motor impairments such as tremor and
freezing of movement that can be difficult to treat. To unfreeze movement, it has been …
freezing of movement that can be difficult to treat. To unfreeze movement, it has been …
Investigation of optimal afferent feedback modality for inducing neural plasticity with a self-paced brain-computer interface
Brain-computer interfaces (BCIs) can be used to induce neural plasticity in the human
nervous system by pairing motor cortical activity with relevant afferent feedback, which can …
nervous system by pairing motor cortical activity with relevant afferent feedback, which can …
Movement intention detection in adolescents with cerebral palsy from single-trial EEG
Objective. As for stroke rehabilitation, brain–computer interfaces could potentially be used
for inducing neural plasticity in patients with cerebral palsy by pairing movement intentions …
for inducing neural plasticity in patients with cerebral palsy by pairing movement intentions …
Self-paced online vs. cue-based offline brain–computer interfaces for inducing neural plasticity
Brain–computer interfaces (BCIs), operated in a cue-based (offline) or self-paced (online)
mode, can be used for inducing cortical plasticity for stroke rehabilitation by the pairing of …
mode, can be used for inducing cortical plasticity for stroke rehabilitation by the pairing of …
Enhancing motor imagery detection efficacy using multisensory virtual reality priming
Brain-computer interfaces (BCI) have been developed to allow users to communicate with
the external world by translating brain activity into control signals. Motor imagery (MI) has …
the external world by translating brain activity into control signals. Motor imagery (MI) has …
Detection of error-related potentials in stroke patients from EEG using an artificial neural network
Error-related potentials (ErrPs) have been proposed as a means for improving brain–
computer interface (BCI) performance by either correcting an incorrect action performed by …
computer interface (BCI) performance by either correcting an incorrect action performed by …