Real-time EMG based pattern recognition control for hand prostheses: A review on existing methods, challenges and future implementation
Upper limb amputation is a condition that significantly restricts the amputees from performing
their daily activities. The myoelectric prosthesis, using signals from residual stump muscles …
their daily activities. The myoelectric prosthesis, using signals from residual stump muscles …
Myoelectric control of prosthetic hands: state-of-the-art review
P Geethanjali - Medical Devices: Evidence and Research, 2016 - Taylor & Francis
Myoelectric signals (MES) have been used in various applications, in particular, for
identification of user intention to potentially control assistive devices for amputees, orthotic …
identification of user intention to potentially control assistive devices for amputees, orthotic …
Control of upper limb prostheses: Terminology and proportional myoelectric control—A review
The recent introduction of novel multifunction hands as well as new control paradigms
increase the demand for advanced prosthetic control systems. In this context, an …
increase the demand for advanced prosthetic control systems. In this context, an …
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 …
Prosthetic myoelectric control strategies: a clinical perspective
Control algorithms for upper limb myoelectric prostheses have been in development since
the mid-1940s. Despite advances in computing power and in the performance of these …
the mid-1940s. Despite advances in computing power and in the performance of these …
Simultaneous and proportional estimation of hand kinematics from EMG during mirrored movements at multiple degrees-of-freedom
S Muceli, D Farina - IEEE transactions on neural systems and …, 2011 - ieeexplore.ieee.org
This paper proposes and tests on able-bodied subjects a control strategy that can be
practically applied in unilateral transradial amputees for simultaneous and proportional …
practically applied in unilateral transradial amputees for simultaneous and proportional …
An efficient multilayer RBF neural network and its application to regression problems
By combining multilayer perceptrons (MLPs) and radial basis function neural networks (RBF-
NNs), an efficient multilayer RBF network is proposed in this work for regression problems …
NNs), an efficient multilayer RBF network is proposed in this work for regression problems …
An upper-limb power-assist exoskeleton using proportional myoelectric control
We developed an upper-limb power-assist exoskeleton actuated by pneumatic muscles. The
exoskeleton included two metal links: a nylon joint, four size-adjustable carbon fiber bracers …
exoskeleton included two metal links: a nylon joint, four size-adjustable carbon fiber bracers …
Hand rehabilitation devices: A comprehensive systematic review
A cerebrovascular accident, or a stroke, can cause significant neurological damage,
inflicting the patient with loss of motor function in their hands. Standard rehabilitation therapy …
inflicting the patient with loss of motor function in their hands. Standard rehabilitation therapy …
Decoding simultaneous multi-DOF wrist movements from raw EMG signals using a convolutional neural network
W Yang, D Yang, Y Liu, H Liu - IEEE Transactions on Human …, 2019 - ieeexplore.ieee.org
Pattern recognition (PR) methods are commonly utilized in the extraction of motion
intentions from myoelectric signals, which is realized by relating several electromyogram …
intentions from myoelectric signals, which is realized by relating several electromyogram …