88 citations · 132 across the 6 of their papers we have counts for
6 papers
On the use of higher-order tensors to model muscle synergies
Ahmed Ebied, Loukianos Spyrou, Eli Kinney-Lang +1
The muscle synergy concept provides the best framework to understand motor control and it has been recently utilised in many applications such as prosthesis control. The current mu…
Consistency of Muscle Synergies Extracted via Higher-Order Tensor Decomposition Towards Myoelectric Control
Ahmed Ebied, Eli Kinney-Lang, Javier Escudero
In recent years, muscle synergies have been pro-posed for proportional myoelectric control. Synergies were extracted using matrix factorisation techniques (mainly non-negative matr…
Higher order tensor decomposition for proportional myoelectric control based on muscle synergies
Ahmed Ebied, Eli Kinney-Lang, Javier Escudero
Muscle synergies have recently been utilised in myoelectric control systems. Thus far, all proposed synergy-based systems rely on matrix factorisation methods. However, this is lim…
Evaluation of matrix factorisation approaches for muscle synergy extraction
Ahmed Ebied, Eli Kinney-Lang, Loukianos Spyrou +1
The muscle synergy concept provides a widely-accepted paradigm to break down the complexity of motor control. In order to identify the synergies, different matrix factorisation tec…
Muscle Activity Analysis using Higher-Order Tensor Models: Application to Muscle Synergy Identification
Ahmed Ebied, Eli Kinney-lang, Loukianos Spyrou +1
Higher-order tensor decompositions have hardly been used in muscle activity analysis despite multichannel electromyography (EMG) datasets naturally occurring as multi-way structure…
Tensor-driven extraction of developmental features from varying paediatric EEG datasets
Eli Kinney-Lang, Loukianos Spyrou, Ahmed Ebied +2
Objective. Consistently changing physiological properties in developing children's brains challenges new data heavy technologies, like brain-computer interfaces (BCI). Advancing si…