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A review on EMG-based motor intention prediction of continuous human upper limb motion for human-robot collaboration
Electromyography (EMG) signal is one of the widely used biological signals for human motor
intention prediction, which is an essential element in human-robot collaboration systems …
intention prediction, which is an essential element in human-robot collaboration systems …
A review on electromyography decoding and pattern recognition for human-machine interaction
This paper presents a literature review on pattern recognition of electromyography (EMG)
signals and its applications. The EMG technology is introduced and the most relevant …
signals and its applications. The EMG technology is introduced and the most relevant …
A compliant ionic adhesive electrode with ultralow bioelectronic impedance
Simultaneous implementation of high signal‐to‐noise ratio (SNR) but low crosstalk is of
great importance for weak surface electromyography (sEMG) signals when precisely driving …
great importance for weak surface electromyography (sEMG) signals when precisely driving …
An experimental study on upper limb position invariant EMG signal classification based on deep neural network
The classification of surface electromyography (sEMG) signal has an important usage in the
man-machine interfaces for proper controlling of prosthetic devices with multiple degrees of …
man-machine interfaces for proper controlling of prosthetic devices with multiple degrees of …
New developments in prosthetic arm systems
Absence of an upper limb leads to severe impairments in everyday life, which can further
influence the social and mental state. For these reasons, early developments in cosmetic …
influence the social and mental state. For these reasons, early developments in cosmetic …
Continuous estimation of upper limb joint angle from sEMG signals based on SCA-LSTM deep learning approach
Robotic arm control has drawn a lot of attention along with the development of
industrialization. The methods based on myoelectric pattern recognition have been …
industrialization. The methods based on myoelectric pattern recognition have been …
Online map** of EMG signals into kinematics by autoencoding
Background In this paper, we propose a nonlinear minimally supervised method based on
autoencoding (AEN) of EMG for myocontrol. The proposed method was tested against the …
autoencoding (AEN) of EMG for myocontrol. The proposed method was tested against the …
Real-time robustness evaluation of regression based myoelectric control against arm position change and donning/doffing
There are some practical factors, such as arm position change and donning/doffing, which
prevent robust myoelectric control. The objective of this study is to precisely characterize the …
prevent robust myoelectric control. The objective of this study is to precisely characterize the …
Nonlinear map** from EMG to prosthesis closing velocity improves force control with EMG biofeedback
When using EMG biofeedback to control the gras** force of a myoelectric prosthesis,
subjects need to activate their muscles and maintain the myoelectric signal within an …
subjects need to activate their muscles and maintain the myoelectric signal within an …
[HTML][HTML] Open database for accurate upper-limb intent detection using electromyography and reliable extreme learning machines
Surface Electromyography (sEMG) signal processing has a disruptive technology potential
to enable a natural human interface with artificial limbs and assistive devices. However, this …
to enable a natural human interface with artificial limbs and assistive devices. However, this …