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A. Ebied

6 papers hereh-index 8245 citations32 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author5
  • middle author1

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • eess.SP5
  • q-bio.NC1

identity via Semantic Scholar / OpenAlex

activity
20172020
most citedEvaluation of matrix factorisation approaches for muscle synergy extraction

88 citations · 132 across the 6 of their papers we have counts for

collaborators
Showing 2018Show all

3 papers · 1 filter

eess.SP2018★ 5 cited

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…

eess.SP2018★ 88 cited

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…

eess.SP2018★ 25 cited

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…

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