ArticleSensors (Basel, Switzerland)2020
Variability of Muscle Synergies in Hand Grasps: Analysis of Intra- and Inter-Session Data.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- Inter-session variability of muscle synergies during upper limb elevation movements in healthy subjects.Experimental brain research · 2026Article
- Muscle coordination strategies during Functional Reach across multiple directions in healthy individuals.European journal of applied physiology · 2026Article
- A Protocol for the Biomechanical Evaluation of the Types of Setting Motions in Volleyball Based on Kinematics and Muscle Synergies.Methods and protocols · 2026Article
- From motor primitives to context-dependent coordination: a system neuroscience approach integrating cognitive, affective, and experiential factors into muscle synergy analysis.Frontiers in systems neuroscience · 2026Article
- Arch support insoles reduce fatigue of the lower extremity muscles in people with flatfoot during a walking task.Scientific reports · 2025Article
- Synergy Analysis Between the Temporal Dominance of Sensations and Temporal Liking Curves of Strawberries.Foods (Basel, Switzerland) · 2025Article
- Neural control meets biomechanics in the motor assessment of neurological disorders: a narrative review.Frontiers in neural circuits · 2025Review
- Muscle synergy analysis during badminton forehand overhead smash: integrating electromyography and musculoskeletal modeling.Frontiers in sports and active living · 2025Article
- Muscle synergies in upper limb stroke rehabilitation: a scoping review.European journal of physical and rehabilitation medicine · 2024Article
- Increased trial-to-trial similarity and reduced temporal overlap of muscle synergy activation coefficients manifest during learning and with increasing movement proficiency.Scientific reports · 2024Article
- Transferring Sensor-Based Assessments to Clinical Practice: The Case of Muscle Synergies.Sensors (Basel, Switzerland) · 2024Article
- Muscle synergies are shared across fundamental subtasks in complex movements of skateboarding.Scientific reports · 2024Article
- Rectified Latent Variable Model-Based EMG Factorization of Inhibitory Muscle Synergy Components Related to Aging, Expertise and Force-Tempo Variations.Sensors (Basel, Switzerland) · 2024Article
- Coming in handy: CeTI-Age - A comprehensive database of kinematic hand movements across the lifespan.Scientific data · 2023Article
- Muscle synergies for evaluating upper limb in clinical applications: A systematic review.Heliyon · 2023Review
- Variability of trunk muscle synergies underlying the multidirectional movements and stability trunk motor tasks in healthy individuals.Scientific reports · 2023Article
- Recent developments in muscle synergy analysis in young people with neurodevelopmental diseases: A Systematic Review.Frontiers in bioengineering and biotechnology · 2023Review
- The Number and Structure of Muscle Synergies Depend on the Number of Recorded Muscles: A Pilot Simulation Study with OpenSim.Sensors (Basel, Switzerland) · 2022Article
- Evaluation of Methods for the Extraction of Spatial Muscle Synergies.Frontiers in neuroscience · 2022Article
- The effects of robotic assistance on upper limb spatial muscle synergies in healthy people during planar upper-limb training.PloS one · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
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Abstract
backgroundMuscle synergy analysis is an approach to understand the neurophysiological mechanisms behind the hypothesized ability of the Central Nervous System (CNS) to reduce the dimensionality of muscle control. The muscle synergy approach is also used to evaluate motor recovery and the evolution of the patients' motor performance both in single-session and longitudinal studies. Synergy-based assessments are subject to various sources of variability: natural trial-by-trial variability of performed movements, intrinsic characteristics of subjects that change over time (e.g., recovery, adaptation, exercise, etc.), as well as experimental factors such as different electrode positioning. These sources of variability need to be quantified in order to resolve challenges for the application of muscle synergies in clinical environments. The objective of this study is to analyze the stability and similarity of extracted muscle synergies under the effect of factors that may induce variability, including inter- and intra-session variability within subjects and inter-subject variability differentiation. The analysis was performed using the comprehensive, publicly available hand grasp NinaPro Database, featuring surface electromyography (EMG) measures from two EMG electrode bracelets.
methodsIntra-session, inter-session, and inter-subject synergy stability was analyzed using the following measures: variance accounted for (VAF) and number of synergies (NoS) as measures of reconstruction stability quality and cosine similarity for comparison of spatial composition of extracted synergies. Moreover, an approach based on virtual electrode repositioning was applied to shed light on the influence of electrode position on inter-session synergy similarity.
resultsInter-session synergy similarity was significantly lower with respect to intra-session similarity, both considering coefficient of variation of VAF (approximately 0.2-15% for inter vs. approximately 0.1% to 2.5% for intra, depending on NoS) and coefficient of variation of NoS (approximately 6.5-14.5% for inter vs. approximately 3-3.5% for intra, depending on VAF) as well as synergy similarity (approximately 74-77% for inter vs. approximately 88-94% for intra, depending on the selected VAF). Virtual electrode repositioning revealed that a slightly different electrode position can lower similarity of synergies from the same session and can increase similarity between sessions. Finally, the similarity of inter-subject synergies has no significant difference from the similarity of inter-session synergies (both on average approximately 84-90% depending on selected VAF).
conclusionSynergy similarity was lower in inter-session conditions with respect to intra-session. This finding should be considered when interpreting results from multi-session assessments. Lastly, electrode positioning might play an important role in the lower similarity of synergies over different sessions.
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