A Fast EMG-Based Algorithm for Upper-Limb Motion Intention Detection by Using Levant’s Differentiators
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3214531
Abstract: Electromyography (EMG) signals are widely used for predicting human movement intention in the operation of robotic assistive devices that improve the quality of people’s lives with motor problems. One of the current challenges controlling such… read more here.
Keywords: intention; fast emg; motion; movement intention ... See more keywords
Is EMG a Viable Alternative to BCI for Detecting Movement Intention in Severe Stroke?
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2018.2817688
Abstract: Objective: In light of the shortcomings of current restorative brain–computer interfaces (BCI), this study investigated the possibility of using EMG to detect hand/wrist extension movement intention to trigger robot-assisted training in individuals without residual movements.… read more here.
Keywords: using emg; movement; movement intention; bci ... See more keywords
Detection of Movement Intention in EEG-Based Brain-Computer Interfaces Using Fourier-Based Synchrosqueezing Transform.
Sign Up to like & getrecommendations! Published in 2021 at "International journal of neural systems"
DOI: 10.1142/s0129065721500593
Abstract: Patients with motor impairments need caregivers' help to initiate the operation of brain-computer interfaces (BCI). This study aims to identify and characterize movement intention using multichannel electroencephalography (EEG) signals as a means to initiate BCI… read more here.
Keywords: using fourier; movement; computer interfaces; movement intention ... See more keywords
Decoding of Self-paced Lower-Limb Movement Intention: A Case Study on the Influence Factors
Sign Up to like & getrecommendations! Published in 2017 at "Frontiers in Human Neuroscience"
DOI: 10.3389/fnhum.2017.00560
Abstract: Brain-machine interfaces (BMIs) have been applied as new rehabilitation tools for motor disabled individuals. Active involvement of cerebral activity has been shown to enhance neuroplasticity and thus to restore mobility. Various studies have focused on… read more here.
Keywords: movement intention; limb movement; lower limb; movement ... See more keywords
Transfer learning in hand movement intention detection based on surface electromyography signals
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2022.977328
Abstract: Over the past several years, electromyography (EMG) signals have been used as a natural interface to interact with computers and machines. Recently, deep learning algorithms such as Convolutional Neural Networks (CNNs) have gained interest for… read more here.
Keywords: movement; hand; movement intention; hand movement ... See more keywords