The extraction of neural information from the surface EMG for the control of upper-limb prostheses: emerging avenues and challenges

D Farina, N Jiang, H Rehbaum… - … on Neural Systems …, 2014 - ieeexplore.ieee.org
Despite not recording directly from neural cells, the surface electromyogram (EMG) signal
contains information on the neural drive to muscles, ie, the spike trains of motor neurons …

Control of upper limb prostheses: Terminology and proportional myoelectric control—A review

A Fougner, Ø Stavdahl, PJ Kyberd… - … on neural systems …, 2012 - ieeexplore.ieee.org
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 …

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 …

Simultaneous and proportional force estimation for multifunction myoelectric prostheses using mirrored bilateral training

JLG Nielsen, S Holmgaard, N Jiang… - IEEE Transactions …, 2010 - ieeexplore.ieee.org
This study presents a novel method for associating features of the surface electromyogram
(EMG) recorded from one upper limb to the force produced by the contralateral limb …

Support vector regression for improved real-time, simultaneous myoelectric control

A Ameri, EN Kamavuako, EJ Scheme… - … on Neural Systems …, 2014 - ieeexplore.ieee.org
This study describes the first application of a support vector machine (SVM) based scheme
for real-time simultaneous and proportional myoelectric control of multiple degrees of …

BioPatRec: A modular research platform for the control of artificial limbs based on pattern recognition algorithms

M Ortiz-Catalan, R Brånemark, B Håkansson - Source code for biology …, 2013 - Springer
Background Processing and pattern recognition of myoelectric signals have been at the core
of prosthetic control research in the last decade. Although most studies agree on reporting …

On the viability of implantable electrodes for the natural control of artificial limbs: review and discussion

M Ortiz-Catalan, R Brånemark, B Håkansson… - Biomedical engineering …, 2012 - Springer
The control of robotic prostheses based on pattern recognition algorithms is a widely studied
subject that has shown promising results in acute experiments. The long-term …

A comparison of the effects of electrode implantation and targeting on pattern classification accuracy for prosthesis control

TR Farrell - IEEE Transactions on Biomedical Engineering, 2008 - ieeexplore.ieee.org
The use of surface versus intramuscular electrodes as well as the effect of electrode
targeting on pattern-recognition-based multifunctional prosthesis control was explored …

Accessing the neural drive to muscle and translation to neurorehabilitation technologies

D Farina, F Negro - IEEE Reviews in biomedical engineering, 2012 - ieeexplore.ieee.org
This review describes methods for interfacing motor neurons from muscle recordings and
their applications in studies on the neural control of movement and in the design of …

Correlation analysis of electromyogram signals for multiuser myoelectric interfaces

RN Khushaba - IEEE Transactions on Neural Systems and …, 2014 - ieeexplore.ieee.org
An inability to adapt myoelectric interfaces to a novel user's unique style of hand motion, or
even to adapt to the motion style of an opposite limb upon which the interface is trained, are …