Results 21 to 30 of about 43,477 (290)

Enhanced motor imagery of digits within the same hand via vibrotactile stimulation

open access: yesFrontiers in Neuroscience, 2023
PurposeThe aim of the present study is to evaluate the effect of vibrotactile stimulation prior to repeated complex motor imagery of finger movements using the non-dominant hand on motor imagery (MI) performance.MethodsTen healthy right-handed adults (4 ...
Vadivelan Ramu, Kishor Lakshminarayanan
doaj   +1 more source

An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing

open access: yes, 2020
This paper presents an accurate and robust embedded motor-imagery brain-computer interface (MI-BCI). The proposed novel model, based on EEGNet, matches the requirements of memory footprint and computational resources of low-power microcontroller units ...
Benini, Luca   +5 more
core   +1 more source

Multiple roles of motor imagery during action observation [PDF]

open access: yes, 2013
Over the last 20 years, the topics of action observation (AO) and motor imagery (MI) have been largely studied in isolation from each other, despite the early integrative account by Jeannerod (1994, 2001). Recent neuroimaging studies demonstrate enhanced
Allan eCollins   +5 more
core   +2 more sources

Age-related differences in cortical and subcortical activities during observation and motor imagery of dynamic postural tasks: an FMRI study [PDF]

open access: yes, 2018
Age-related changes in brain activation other than in the primary motor cortex are not well known with respect to dynamic balance control. Therefore, the current study aimed to explore age-related differences in the control of static and dynamic ...
Annoni, Jean-Marie   +5 more
core   +7 more sources

Facilitating motor imagery-based brain–computer interface for stroke patients using passive movement [PDF]

open access: yes, 2016
Motor imagery-based brain–computer interface (MI-BCI) has been proposed as a rehabilitation tool to facilitate motor recovery in stroke. However, the calibration of a BCI system is a time-consuming and fatiguing process for stroke patients, which leaves ...
A Ahangi   +42 more
core   +1 more source

Motor imagery of gait tasks in individuals with Parkinson disease [PDF]

open access: yes, 2012
We developed a questionnaire to assess motor imagery (MI) of gait and administered it to 34 controls and 28 individuals with PD. Our goals were: 1) compare gait MI in individuals with and without PD, 2) determine whether walking performance relates to ...
Earhart, Gammon M   +2 more
core   +2 more sources

Recognition of single upper limb motor imagery tasks from EEG using multi-branch fusion convolutional neural network

open access: yesFrontiers in Neuroscience, 2023
Motor imagery-based brain-computer interfaces (MI-BCI) have important application values in the field of neurorehabilitation and robot control. At present, MI-BCI mostly use bilateral upper limb motor tasks, but there are relatively few studies on single
Rui Zhang   +5 more
doaj   +1 more source

Decoding EEG rhythms offline and online during motor imagery for standing and sitting based on a brain-computer interface

open access: yesFrontiers in Neuroinformatics, 2022
Motor imagery (MI)-based brain-computer interface (BCI) systems have shown promising advances for lower limb motor rehabilitation. The purpose of this study was to develop an MI-based BCI for the actions of standing and sitting.
Nayid Triana-Guzman   +4 more
doaj   +1 more source

3D visualization of movements can amplify motor cortex activation during subsequent motor imagery

open access: yesFrontiers in Human Neuroscience, 2015
A repetitive movement practice by motor imagery (MI) can influence motor cortical excitability in the electroencephalogram (EEG). The feedback and the feedback environment should be inherently motivating and relevant for the learner and should have an ...
Teresa eSollfrank
doaj   +1 more source

Characterization of kinesthetic motor imagery compared with visual motor imageries

open access: yesScientific Reports, 2021
Motor imagery (MI) is the only way for disabled subjects to robustly use a robot arm with a brain-machine interface. There are two main types of MI.
Yu Jin Yang   +3 more
doaj   +1 more source

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