Materials, devices, and systems of on‐skin electrodes for electrophysiological monitoring and human–machine interfaces
On‐skin electrodes function as an ideal platform for collecting high‐quality
electrophysiological (EP) signals due to their unique characteristics, such as stretchability …
electrophysiological (EP) signals due to their unique characteristics, such as stretchability …
Gesture recognition using surface electromyography and deep learning for prostheses hand: state-of-the-art, challenges, and future
W Li, P Shi, H Yu - Frontiers in neuroscience, 2021 - frontiersin.org
Amputation of the upper limb brings heavy burden to amputees, reduces their quality of life,
and limits their performance in activities of daily life. The realization of natural control for …
and limits their performance in activities of daily life. The realization of natural control for …
Deep learning with convolutional neural networks applied to electromyography data: A resource for the classification of movements for prosthetic hands
Natural control methods based on surface electromyography (sEMG) and pattern
recognition are promising for hand prosthetics. However, the control robustness offered by …
recognition are promising for hand prosthetics. However, the control robustness offered by …
Comparison of six electromyography acquisition setups on hand movement classification tasks
Hand prostheses controlled by surface electromyography are promising due to the non-
invasive approach and the control capabilities offered by machine learning. Nevertheless …
invasive approach and the control capabilities offered by machine learning. Nevertheless …
Electromyography data for non-invasive naturally-controlled robotic hand prostheses
Recent advances in rehabilitation robotics suggest that it may be possible for hand-
amputated subjects to recover at least a significant part of the lost hand functionality. The …
amputated subjects to recover at least a significant part of the lost hand functionality. The …
Feature reduction and selection for EMG signal classification
Feature extraction is a significant method to extract the useful information which is hidden in
surface electromyography (EMG) signal and to remove the unwanted part and interferences …
surface electromyography (EMG) signal and to remove the unwanted part and interferences …
[HTML][HTML] Current state of digital signal processing in myoelectric interfaces and related applications
This review discusses the critical issues and recommended practices from the perspective of
myoelectric interfaces. The major benefits and challenges of myoelectric interfaces are …
myoelectric interfaces. The major benefits and challenges of myoelectric interfaces are …
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 …
A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees
Peripheral nerves provide a promising source of motor control signals for neuroprosthetic
devices. Unfortunately, the clinical utility of current peripheral nerve interfaces is limited by …
devices. Unfortunately, the clinical utility of current peripheral nerve interfaces is limited by …
Myoelectric forearm prostheses: State of the art from a user-centered perspective
B Peerdeman, D Boere, H Witteveen… - Journal of …, 2011 - research.utwente.nl
User acceptance of myoelectric forearm prostheses is currently low. Awkward control, lack of
feedback, and difficult training are cited as primary reasons. Recently, researchers have …
feedback, and difficult training are cited as primary reasons. Recently, researchers have …