ArticleFrontiers in human neuroscience2014
Motor modules of human locomotion: influence of EMG averaging, concatenation, and number of step cycles.
Article in Frontiers in human neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers, 2 of them syntheses that pooled it.
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Who cites it
106 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Muscle Synergies During Walking in Children With Cerebral Palsy: A Systematic Review.Frontiers in physiology · 2020Pooled it
- The influence of musculoskeletal pain disorders on muscle synergies-A systematic review.PloS one · 2018Pooled it
- Muscle Synergy Analysis of Different PAPE Protocols on Side Kick Performance in Elite Sanda Athletes: A Repeated Measures Study.Sensors (Basel, Switzerland) · 2026Trial
- Myofascial trigger points alter the modular control during the execution of a reaching task: a pilot study.Scientific reports · 2019Trial
- Limb-specific modulation of muscle synergies and segmental coordination during curved running.Experimental brain research · 2026Article
- Influence of surgical intervention on pre- and post-surgery patient specific muscle synergies in children with cerebral palsy.Experimental brain research · 2026Article
- Relationship between lower limb muscle coordination and knee flexion angle during the swing phase of gait in post-stroke individuals.Journal of neuroengineering and rehabilitation · 2026Article
- Adaptation-dependent modulation of coordinated muscle activities in human gait adaptation as revealed by tensor decomposition.iScience · 2026Article
- Lower Limb Muscle Synergies During Table Tennis Forehand Topspin Stroke: A Muscle Synergy Theory-Based Analysis.Journal of sports science & medicine · 2026Article
- Muscle coordination strategies during Functional Reach across multiple directions in healthy individuals.European journal of applied physiology · 2026Article
- Muscle synergies and functional network organization underlying Tai Chi movements: a pilot cross-Sectional study towards a personalized Neuromechanical Baseline.Frontiers in bioengineering and biotechnology · 2026Article
- Muscle synergy characteristics during hands-and-knees crawling in children aged 4-6 years.PloS one · 2026Article
- Validating cephalometric angular reconstruction for determining vertical dimension in edentulous patients.BMC oral health · 2025Article
- Developmental changes in upper limb muscle synergies during throwing: A comparison between preschoolers and schoolers.iScience · 2025Article
- Age-related differences in the modulation of muscle coordination complexity for goal-directed lateral stepping.Journal of biomechanics · 2025Article
- Motor modules are largely unaffected by pathological walking biomechanics: a simulation study.Journal of neuroengineering and rehabilitation · 2025Article
- Analysis of muscle synergy in the lower extremities and associated adaptive strategies during single-leg landing.Frontiers in physiology · 2025Article
- Effect of foot type on electromyography characteristics and synergy of lower limb muscles during running.Scientific reports · 2024Article
- Dynamical network-based evaluation for neuromuscular dysfunction in stroke-induced hemiplegia during standing.Journal of neuroengineering and rehabilitation · 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
46 more citing papers are in PubMed but not listed here.
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4 authors.
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Abstract
Locomotion can be investigated by factorization of electromyographic (EMG) signals, e.g., with non-negative matrix factorization (NMF). This approach is a convenient concise representation of muscle activities as distributed in motor modules, activated in specific gait phases. For applying NMF, the EMG signals are analyzed either as single trials, or as averaged EMG, or as concatenated EMG (data structure). The aim of this study is to investigate the influence of the data structure on the extracted motor modules. Twelve healthy men walked at their preferred speed on a treadmill while surface EMG signals were recorded for 60s from 10 lower limb muscles. Motor modules representing relative weightings of synergistic muscle activations were extracted by NMF from 40 step cycles separately (EMGSNG), from averaging 2, 3, 5, 10, 20, and 40 consecutive cycles (EMGAVR), and from the concatenation of the same sets of consecutive cycles (EMGCNC). Five motor modules were sufficient to reconstruct the original EMG datasets (reconstruction quality >90%), regardless of the type of data structure used. However, EMGCNC was associated with a slightly reduced reconstruction quality with respect to EMGAVR. Most motor modules were similar when extracted from different data structures (similarity >0.85). However, the quality of the reconstructed 40-step EMGCNC datasets when using the muscle weightings from EMGAVR was low (reconstruction quality ~40%). On the other hand, the use of weightings from EMGCNC for reconstructing this long period of locomotion provided higher quality, especially using 20 concatenated steps (reconstruction quality ~80%). Although EMGSNG and EMGAVR showed a higher reconstruction quality for short signal intervals, these data structures did not account for step-to-step variability. The results of this study provide practical guidelines on the methodological aspects of synergistic muscle activation extraction from EMG during locomotion.
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