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 …
A critical review of interfaces with the peripheral nervous system for the control of neuroprostheses and hybrid bionic systems
Considerable scientific and technological efforts have been devoted to develop
neuroprostheses and hybrid bionic systems that link the human nervous system with …
neuroprostheses and hybrid bionic systems that link the human nervous system with …
[图书][B] An introduction to optimization
Praise for the Third Edition"... guides and leads the reader through the learning path...[e]
xamples are stated very clearly and the results are presented with attention to detail."—MAA …
xamples are stated very clearly and the results are presented with attention to detail."—MAA …
A new strategy for multifunction myoelectric control
A novel approach to the control of a multifunction prosthesis based on the classification of
myoelectric patterns is described. It is shown that the myoelectric signal exhibits a …
myoelectric patterns is described. It is shown that the myoelectric signal exhibits a …
A robust, real-time control scheme for multifunction myoelectric control
K Englehart, B Hudgins - IEEE transactions on biomedical …, 2003 - ieeexplore.ieee.org
This paper represents an ongoing investigation of dexterous and natural control of upper
extremity prostheses using the myoelectric signal (MES). The scheme described within uses …
extremity prostheses using the myoelectric signal (MES). The scheme described within uses …
[图书][B] Electromyography: physiology, engineering, and non-invasive applications
R Merletti, PJ Parker - 2004 - books.google.com
A complete overview of electromyography with contributions from pacesetters in the field In
recent years, insights from the field of engineering have illuminated the vast potential of …
recent years, insights from the field of engineering have illuminated the vast potential of …
On the application of physics informed neural networks (PINN) to solve boundary layer thermal-fluid problems
H Bararnia, M Esmaeilpour - … Communications in Heat and Mass Transfer, 2022 - Elsevier
Deep neural network is a powerful technique in discovering the hidden physics behind the
transport phenomena through big-data training. In this study, the application of physic …
transport phenomena through big-data training. In this study, the application of physic …
Control of hand prostheses using peripheral information
S Micera, J Carpaneto… - IEEE reviews in …, 2010 - ieeexplore.ieee.org
Several efforts have been carried out to enhance dexterous hand prosthesis control by
impaired individuals. Choosing which voluntary signal to use for control purposes is a critical …
impaired individuals. Choosing which voluntary signal to use for control purposes is a critical …
EMG feature evaluation for movement control of upper extremity prostheses
M Zardoshti-Kermani, BC Wheeler… - IEEE Transactions …, 1995 - ieeexplore.ieee.org
A variety of EMG features have been evaluated for control of myoelectric upper extremity
prostheses. Movement class discrimination, robustness, and computational complexity of …
prostheses. Movement class discrimination, robustness, and computational complexity of …
A human-assisting manipulator teleoperated by EMG signals and arm motions
This paper proposes a human-assisting manipulator teleoperated by electromyographic
(EMG) signals and arm motions. The proposed method can realize a new master-slave …
(EMG) signals and arm motions. The proposed method can realize a new master-slave …