Biomimetics · 2021 · 57 citations · 70 references
EducationNeuroscienceRehabilitation MedicineMotor ControlMovement AnalysisRehabilitationCoordination AnalysisMovement KinematicsMovement Pattern AnalysisMovement VariabilityNeuromuscular Control AssessmentNeuromuscular RehabilitationInter-subject VariabilityIntra-subject VariabilityLaboratory InvestigationsMotor Synergy AnalysisMuscle Activation AnalysisMuscle SynergiesReaching VariabilityVariability Quantification
Quantifying movement variability is a crucial aspect for clinical and laboratory investigations in several contexts. However, very few studies have assessed, in detail, the intra-subject variability across movements and the inter-subject variability. Muscle synergies are a valuable method that can be used to assess such variability. In this study, we assess, in detail, intra-subject and inter-subject variability in a scenario based on a comprehensive dataset, including multiple repetitions of multi-directional reaching movements. The results show that muscle synergies are a valuable tool for quantifying variability at the muscle level and reveal that intra-subject variability is lower than inter-subject variability in synergy modules and related temporal coefficients, and both intra-subject and inter-subject similarity are higher than random synergy matching, confirming shared underlying control structures. The study deepens the available knowledge on muscle synergy-based motor function assessment and rehabilitation applications, discussing their applicability to real scenarios.
70
Algorithms for Non-negative Matrix Factorization
Daniel D. Lee, H. Sebastian Seung · 2000 · 5.5K citations