To design and implement an electromyography (EMG)-based controller for a hand robotic assistive device, which is able to classify the user's motion intention before the effective kinematic movement execution
peer reviewedElectromyography (EMG) is a measure of electrical activity generated by the contraction...
Background: Surface electromyography (sEMG) based robot-assisted rehabilitation systems have been ad...
This paper reports on the evaluation of recurrent and convolutional neural networks as real-time gra...
To design and implement an electromyography (EMG)-based controller for a hand robotic assistive devi...
The objective of this work is to describe and test a hand rehabilitation device with particular atte...
The objective of the present study was to develop a myoelectric controller able to classify specific...
Besides prosthetic device control and neuromuscular disease identification, electromyography (EMG) ...
Functional Electrical Stimulation (FES) facilitates the motor recovery of the hand function after st...
Abstract Hand mentor robotic device is beneficial for stroke patients . This is rehabilitation techn...
Electromyography (EMG) is the technique of collecting electrical signals from the human body for fur...
Improving the hand motor skills in post-stroke patients through rehabilitation based on movement int...
Hand plays an important role in a human’s life by offering physical interaction and grasping capabil...
Objective: In light of the shortcomings of current restorative brain-computer interfaces (BCI), this...
Several common diseases, such as stroke, multiple sclerosis, and spinal cord injuries, lead to upper...
Brain–computer interfaces can be used for motor substitution and recovery; therefore, detection and ...
peer reviewedElectromyography (EMG) is a measure of electrical activity generated by the contraction...
Background: Surface electromyography (sEMG) based robot-assisted rehabilitation systems have been ad...
This paper reports on the evaluation of recurrent and convolutional neural networks as real-time gra...
To design and implement an electromyography (EMG)-based controller for a hand robotic assistive devi...
The objective of this work is to describe and test a hand rehabilitation device with particular atte...
The objective of the present study was to develop a myoelectric controller able to classify specific...
Besides prosthetic device control and neuromuscular disease identification, electromyography (EMG) ...
Functional Electrical Stimulation (FES) facilitates the motor recovery of the hand function after st...
Abstract Hand mentor robotic device is beneficial for stroke patients . This is rehabilitation techn...
Electromyography (EMG) is the technique of collecting electrical signals from the human body for fur...
Improving the hand motor skills in post-stroke patients through rehabilitation based on movement int...
Hand plays an important role in a human’s life by offering physical interaction and grasping capabil...
Objective: In light of the shortcomings of current restorative brain-computer interfaces (BCI), this...
Several common diseases, such as stroke, multiple sclerosis, and spinal cord injuries, lead to upper...
Brain–computer interfaces can be used for motor substitution and recovery; therefore, detection and ...
peer reviewedElectromyography (EMG) is a measure of electrical activity generated by the contraction...
Background: Surface electromyography (sEMG) based robot-assisted rehabilitation systems have been ad...
This paper reports on the evaluation of recurrent and convolutional neural networks as real-time gra...