Muscle synergies: input or output variables for neural control?
نویسندگان
چکیده
منابع مشابه
Muscle synergies: input or output variables for neural control?
The exciting study by Steele et al. is the first to use non-negative matrix factorization to quantify electromyography (EMG) muscle synergies during gait in children with cerebral palsy (CP). The identification of fewer synergies during gait in adults with stroke and the relationship of lower synergy number to greater functional limitations are of great interest in neurorehabilitation. So I com...
متن کاملAre muscle synergies useful for neural control?
The observation that the activity of multiple muscles can be well approximated by a few linear synergies is viewed by some as a sign that such low-dimensional modules constitute a key component of the neural control system. Here, we argue that the usefulness of muscle synergies as a control principle should be evaluated in terms of errors produced not only in muscle space, but also in task spac...
متن کاملPredictive Control With Filtering Of Input And Output Variables
The paper is focused on an implementation of a predictive controller with a colouring filter C in a disturbance model. The filter is often essential for practical applications of predictive control based on transfer function models. It is commonly considered as a design parameter because it has direct effects on closed loop performance. In this paper a computation of predictions for the case wi...
متن کاملneural classifier ensemble using error-correcting output codes: access control application
abstract biometric access control is an automatic system that intelligently provides the access of special actions to predefined individuals. it may use one or more unique features of humans, like fingerprint, iris, gesture, 2d and 3d face images. 2d face image is one of the important features with useful and reliable information for recognition of individuals and systems based on this ...
Stable multi-input multi-output adaptive fuzzy/neural control
In this letter, stable direct and indirect adaptive controllers are presented that use Takagi–Sugeno (T–S) fuzzy systems, conventional fuzzy systems, or a class of neural networks to provide asymptotic tracking of a reference signal vector for a class of continuous time multi-input multi-output (MIMO) square nonlinear plants with poorly understood dynamics. The direct adaptive scheme allows for...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Developmental Medicine & Child Neurology
سال: 2015
ISSN: 0012-1622
DOI: 10.1111/dmcn.12843