A review on surface electromyography-controlled hand robotic devices used for rehabilitation and assistance in activities of daily living
Materials and Methods A brief description is given to the previous reviews and studies that
have surveyed the robotic devices used for rehabilitation; a comparison is conducted among …
have surveyed the robotic devices used for rehabilitation; a comparison is conducted among …
Myoelectric pattern recognition for controlling a robotic hand: a feasibility study in stroke
Objective: Myoelectric pattern recognition has been successfully applied as a human-
machine interface to control robotic devices such as prostheses and exoskeletons …
machine interface to control robotic devices such as prostheses and exoskeletons …
Long short-term memory (LSTM) recurrent neural network for muscle activity detection
M Ghislieri, GL Cerone, M Knaflitz… - … of NeuroEngineering and …, 2021 - Springer
Background The accurate temporal analysis of muscle activation is of great interest in many
research areas, spanning from neurorobotic systems to the assessment of altered …
research areas, spanning from neurorobotic systems to the assessment of altered …
Real-time control of an exoskeleton hand robot with myoelectric pattern recognition
Robot-assisted training provides an effective approach to neurological injury rehabilitation.
To meet the challenge of hand rehabilitation after neurological injuries, this study presents …
To meet the challenge of hand rehabilitation after neurological injuries, this study presents …
Adaptive myoelectric pattern recognition toward improved multifunctional prosthesis control
J Liu - Medical engineering & physics, 2015 - Elsevier
The non-stationary property of electromyography (EMG) signals in real life settings usually
hinders the clinical application of the myoelectric pattern recognition for prosthesis control …
hinders the clinical application of the myoelectric pattern recognition for prosthesis control …
Offline and online myoelectric pattern recognition analysis and real-time control of a robotic hand after spinal cord injury
Objective. The objective of this study was to investigate the feasibility of applying myoelectric
pattern recognition for controlling a robotic hand in individuals with spinal cord injury (SCI) …
pattern recognition for controlling a robotic hand in individuals with spinal cord injury (SCI) …
Towards reducing the impacts of unwanted movements on identification of motion intentions
Surface electromyogram (sEMG) has been extensively used as a control signal in prosthesis
devices. However, it is still a great challenge to make multifunctional myoelectric prostheses …
devices. However, it is still a great challenge to make multifunctional myoelectric prostheses …
A technique for classification and decomposition of muscle signal for control of myoelectric prostheses based on wavelet statistical classifier
K Veer - Measurement, 2015 - Elsevier
Since surface electromyography is an electrical activity of superficial muscles and is an
essential tool to investigate assessments protocols to be required for prosthetic design, so …
essential tool to investigate assessments protocols to be required for prosthetic design, so …
Use of the integrated profile for voluntary muscle activity detection using EMG signals with spurious background spikes: A study with incomplete spinal cord injury
J Liu, Q Liu - Biomedical Signal Processing and Control, 2016 - Elsevier
Following neurological injuries, such as spinal cord injury (SCI), voluntary muscle activity
detection from electromyography (EMG) signals can be problematic due to spurious …
detection from electromyography (EMG) signals can be problematic due to spurious …
Discrete hand motion intention decoding based on transient myoelectric signals
Y Li, Q Zhang, N Zeng, J Chen, Q Zhang - IEEE Access, 2019 - ieeexplore.ieee.org
In the application of human-robot interaction (HRI) rehabilitation exercise controlled by
Electromyogram (EMG), if the discrete motion intention decoded by EMG signals is within …
Electromyogram (EMG), if the discrete motion intention decoded by EMG signals is within …