ArticleScientific reports2018
Muscle synergies are consistent across level and uphill treadmill running.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed.
- Analysis of the correlation between lower limb muscle synergy characteristics and landing load during single-leg landing in humans.Scientific reports · 2026Article
- Effects of fatigue on the activation characteristics and synergistic patterns of lower limb muscles during running.Frontiers in physiology · 2026Article
- The impact of transcranial direct current stimulation on neuromuscular control during directional change.BMC sports science, medicine & rehabilitation · 2025Article
- Lower limb muscle synergies during deceleration at different change of direction angles.Scientific reports · 2025Article
- Alterations in muscular control when performing unfamiliar elbow flexion and extension movements.European journal of applied physiology · 2025Article
- Enhancing Jump Performance Through Blood Flow Restriction Squat Exercise: A Muscle Synergy Analysis Using Wavelet Packet Transformation.Journal of sports science & medicine · 2025Article
- Mechanical Running Power and Energy Expenditure in Uphill and Downhill Running.Sports (Basel, Switzerland) · 2025Article
- A review of uphill and downhill running: biomechanics, physiology and modulating factors.Frontiers in bioengineering and biotechnology · 2025Review
- Pattern transition recognition based on transfer learning for exoskeleton across different terrains.PeerJ. Computer science · 2025Article
- Differences in muscle activity and intermuscular coordination between dominant and non-dominant hands during chopstick manipulation.Frontiers in human neuroscience · 2025Article
- Effect of foot type on electromyography characteristics and synergy of lower limb muscles during running.Scientific reports · 2024Article
- Neuromuscular Control Strategies in Basketball Shooting: Distance-Dependent Analysis of Muscle Synergies.Journal of sports science & medicine · 2024Article
- Muscle synergies for multidirectional isometric force generation during maintenance of upright standing posture.Experimental brain research · 2024Article
- Whole leg compression garments influence lower limb kinematics and associated muscle synergies during running.Frontiers in bioengineering and biotechnology · 2024Article
- Use of Surface Electromyography to Estimate End-Point Force in Redundant Systems: Comparison between Linear Approaches.Bioengineering (Basel, Switzerland) · 2023Article
- Muscle coordination and recruitment during squat assistance using a robotic ankle-foot exoskeleton.Scientific reports · 2023Article
- Variability of trunk muscle synergies underlying the multidirectional movements and stability trunk motor tasks in healthy individuals.Scientific reports · 2023Article
- Measuring the Effect of Vision on the Synergy of Lower Extremity Muscles during Walking using Nonnegative Matrix Factorization (NNMF) Algorithm Method.Applied bionics and biomechanics · 2023Article
- Classification of gait phases based on a machine learning approach using muscle synergy.Frontiers in human neuroscience · 2023Article
- Computational prediction of muscle synergy using a finite element framework for a musculoskeletal model on lower limb.Frontiers in bioengineering and biotechnology · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to identify muscle synergies of the lower limb during treadmill running on level and inclined ground. Eight subjects ran on a treadmill at three speeds (2.5, 3.3, and 4.1 m/s) and two grades (level and 10% grade). Surface electromyographic (EMG) signals were recorded from 10 muscles of the lower limb, including deeper muscles such as vastus intermedius, adductor magnus, and adductor longus. Muscle synergies were extracted applying a non-negative matrix factorization algorithm, and relative co-activations across muscles and the temporal recruitment pattern were identified by muscle synergy vector and synergy activation coefficient, respectively. The scalar product between pairs of synergy vectors and synergy activation coefficients during level and uphill running conditions were analyzed as a similarity index, with values above 0.8 recognized as similar. Approximately 4 muscle synergies controlled the majority of variability in 10 EMGs during running, and were common between level and uphill conditions. At each running speed, inter-condition similarity was observed in synergy vector (r > 0.83) and synergy activation coefficients (r > 0.84) at each type of synergy. These results suggest that types of synergy are consistent between level and uphill running.
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