{"title":"Establishing a methodological framework for evaluating gait symmetry through muscle synergies: A pilot study","authors":"Elham Zargaripour, Farzad Towhidkhah, Farnaz Ghassemi, Otella Shoja","doi":"10.1016/j.jelekin.2025.103064","DOIUrl":null,"url":null,"abstract":"<div><div>Gait symmetry is vital for stable locomotion, yet conventional metrics often yield inconsistent results. Muscle synergy analysis provides a more precise understanding of neural mechanisms behind symmetric gait. A clear methodology is essential to distinguish true inter-limb differences from natural variability. This study aimed to refine the analysis of muscle synergy symmetry in healthy individuals by incorporating intra-limb similarity as a baseline for comparison, while also including muscle weightings within each synergy to explore muscle synchrony. EMG signals were collected from both lower limbs of healthy subjects during treadmill walking. Muscle synergies were extracted using non-negative matrix factorization (NMF). Intra-limb similarity was used as a baseline to assess inter-limb differences. Muscle activity, number of synergies, muscle weightings within each synergy, and weight (W) and activation coefficients (H) were compared between sides. Normalized scalar products assessed weight coefficients, while Pearson’s correlation was used to compare activation coefficients. No significant differences were found in the number or structure of muscle synergies between limbs, indicating symmetrical coordination. However, significant differences were observed in activation of four of eight muscles and minor variations in muscle weightings. This study underscores the importance of a robust framework for interpreting muscle synergy symmetry.</div></div>","PeriodicalId":56123,"journal":{"name":"Journal of Electromyography and Kinesiology","volume":"85 ","pages":"Article 103064"},"PeriodicalIF":2.3000,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Electromyography and Kinesiology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1050641125000902","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Gait symmetry is vital for stable locomotion, yet conventional metrics often yield inconsistent results. Muscle synergy analysis provides a more precise understanding of neural mechanisms behind symmetric gait. A clear methodology is essential to distinguish true inter-limb differences from natural variability. This study aimed to refine the analysis of muscle synergy symmetry in healthy individuals by incorporating intra-limb similarity as a baseline for comparison, while also including muscle weightings within each synergy to explore muscle synchrony. EMG signals were collected from both lower limbs of healthy subjects during treadmill walking. Muscle synergies were extracted using non-negative matrix factorization (NMF). Intra-limb similarity was used as a baseline to assess inter-limb differences. Muscle activity, number of synergies, muscle weightings within each synergy, and weight (W) and activation coefficients (H) were compared between sides. Normalized scalar products assessed weight coefficients, while Pearson’s correlation was used to compare activation coefficients. No significant differences were found in the number or structure of muscle synergies between limbs, indicating symmetrical coordination. However, significant differences were observed in activation of four of eight muscles and minor variations in muscle weightings. This study underscores the importance of a robust framework for interpreting muscle synergy symmetry.
期刊介绍:
Journal of Electromyography & Kinesiology is the primary source for outstanding original articles on the study of human movement from muscle contraction via its motor units and sensory system to integrated motion through mechanical and electrical detection techniques.
As the official publication of the International Society of Electrophysiology and Kinesiology, the journal is dedicated to publishing the best work in all areas of electromyography and kinesiology, including: control of movement, muscle fatigue, muscle and nerve properties, joint biomechanics and electrical stimulation. Applications in rehabilitation, sports & exercise, motion analysis, ergonomics, alternative & complimentary medicine, measures of human performance and technical articles on electromyographic signal processing are welcome.