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Esfandiarian-Nasab, Kazem, Eslami, Mansour, Salari-Esker, Fateme, Yousefpour, Rohollah. (1404). A Novel Approach to Analyzing Wrestling Skills: Multidimensional Recurrence Quantification Analysis of Muscle Activity. سامانه مدیریت نشریات علمی, 13(1), 68-74. doi: 10.30476/jrsr.2025.105002.1539
Kazem Esfandiarian-Nasab; Mansour Eslami; Fateme Salari-Esker; Rohollah Yousefpour. "A Novel Approach to Analyzing Wrestling Skills: Multidimensional Recurrence Quantification Analysis of Muscle Activity". سامانه مدیریت نشریات علمی, 13, 1, 1404, 68-74. doi: 10.30476/jrsr.2025.105002.1539
Esfandiarian-Nasab, Kazem, Eslami, Mansour, Salari-Esker, Fateme, Yousefpour, Rohollah. (1404). 'A Novel Approach to Analyzing Wrestling Skills: Multidimensional Recurrence Quantification Analysis of Muscle Activity', سامانه مدیریت نشریات علمی, 13(1), pp. 68-74. doi: 10.30476/jrsr.2025.105002.1539
Esfandiarian-Nasab, Kazem, Eslami, Mansour, Salari-Esker, Fateme, Yousefpour, Rohollah. A Novel Approach to Analyzing Wrestling Skills: Multidimensional Recurrence Quantification Analysis of Muscle Activity. سامانه مدیریت نشریات علمی, 1404; 13(1): 68-74. doi: 10.30476/jrsr.2025.105002.1539

A Novel Approach to Analyzing Wrestling Skills: Multidimensional Recurrence Quantification Analysis of Muscle Activity

Journal of Rehabilitation Sciences & Research
دوره 13، شماره 1، خرداد 2026، صفحه 68-74    اصل مقاله (1.57 M)
نوع مقاله: Original Articles
شناسه دیجیتال (DOI): 10.30476/jrsr.2025.105002.1539
نویسندگان
Kazem Esfandiarian-Nasab* 1؛ Mansour Eslami1؛ Fateme Salari-Esker1؛ Rohollah Yousefpour2
1Department of Motor Behavior and Sports Biomechanics, Faculty of Sports Sciences, University of Mazandaran, Mazandaran, Iran.
2Department of Computer Sciences, Faculty of Mathematical Sciences, University of Mazandaran, Mazandaran, Iran.
چکیده
Background: As athletes develop, their motor patterns evolve from variable to adaptive neuromuscular control strategies, enabling precise execution of complex movements. Traditional linear biomechanical analyses of wrestling techniques often focus on averaged data points, overlooking motor pattern variability and nonlinear dynamic characteristics. Understanding these nonlinear dynamics can enhance skill acquisition, injury prevention, and training optimization. This study is the first to apply multidimensional recurrence quantification analysis (MDRQA) of electromyography (EMG) signals to compare motor patterns in elite and sub-elite wrestlers during a shadow freestyle tie-up drill (SFTUD).
Methods: This cross-sectional, descriptive-analytical observational study recorded EMG signals from the triceps, biceps, anterior deltoid, and latissimus dorsi of the dominant upper limb during a 15-second SFTUD. Determinism (%DET) and laminarity (%LAM) were used to assess repeatability and stability, while diagonal (EntL) and vertical (EntV) entropy measured complexity and adaptability.
Results: Elite wrestlers exhibited significantly higher %DET and %LAM, indicating greater consistency in their motor patterns. Elevated EntL and EntV values further suggest enhanced complexity and adaptability in neuromuscular control, reflecting the chaotic dynamics associated with superior performance.
Conclusion: These findings underscore the importance of nonlinear motor pattern dynamics in the development of wrestling skill. MDRQA can identify expertise-related movement patterns, enabling coaches and practitioners to design targeted training programs that optimize performance and reduce injury risk.

تازه های تحقیق
کلیدواژه‌ها
Motor Patterns؛ Adaptability؛ Stability؛ Multidimensional Recurrence Quantification Analysis (MDRQA)؛ Wrestling؛ Complexity
مراجع
  1. Kelso J. Dynamic patterns: the self-organization of brain and behavior. MIT Press; 1995.
  2. Harrison SJ, Stergiou N. Complex adaptive behavior and dexterous action. Nonlinear Dynamics Psychol Life Sci. 2015;19(4):345–94.
  3. Burton S, Vicinanza D, Exell T, Newell KM, Irwin G, Williams GKR. Attractor dynamics of elite performance: the high bar long swing. Sports Biomech. 2021;23(10):1384–97.
  4. van Emmerik REA, Ducharme SW, Amado AC, Hamill J. Comparing dynamical systems concepts and techniques for biomechanical analysis. J Sport Health Sci. 2016;5(1):3–13.
  5. Esfandiarian-Nasab K, Eslami M, Salari-Esker F, Yousefpour R. Unraveling chaotic motor patterns of elite and sub-elite wrestlers in snap-down technique using multidimensional recurrence quantification analysis of muscle activity. Comput Biol Med. 2025;196:110673.
  6. Beinabaji H, Eslami M, Hosseininejad SE, Esmaili Paeen Afrakoti I. Muscle synergy during double-leg attack maneuver: a comparison between elite and sub-elite wrestlers. J Adv Sport Technol. 2023;7(4):11–24.
  7. Yamashita D, Arakawa H, Wada T, Yumoto K, Fujiyama K, Nagami T, et al. Whole-body mechanics of double-leg attack in elite and non-elite male freestyle wrestlers. Front Sports Act Living. 2020;2(June):58.
  8. DeCastro N, Wu T, editors. The examination of upper limb ambidexterity in wrestling snap down technique. ISBS-Conference Proceedings Archive; 2015.
  9. Stordopoulos D, Giannakou E, Manaveli P, Barbas I, Gourgoulis V, Aggeloussis N. Reliability of lower limb kinematics during the arm-throw wrestling technique. Int J Wrestl Sci. 2016;6(2):67–73.
  10. Barbas I, Aggeloussis N, Podlivaev B, Shakhmuradov Y, Mirzaei B, Tunnemann H. Biomechanical protocol to assist the training of arm-throw wrestling technique. Int J Wrestl Sci. 2014;2(2):93–103.
  11. Fujiyama K, Yamashita D, Nishiguchi S, Ito M. Technical-tactical analysis of men’s wrestling: a case study of the 72nd National Athletic Meet of 2017 in Japan. Int J Wrestl Sci. 2019;9:1–6.
  12. Kajmovic H, Kapur A, Radjo I, Mekic A. Differences in performance between winners and defeated wrestlers in the European Championships for cadets. Int J Perform Anal Sport. 2014;14(1):252–61.
  13. Kajmović H, Kapur A, Huremović D, Kapo S, Colakhodzic E. Differences in performance indicators between winners and defeated female cadet wrestlers. J Eurasia Sport Sci Med. 2019;1(1):10–23.
  14. Glazier PS, Mehdizadeh S. In search of sports biomechanics' holy grail: can athlete-specific optimum sports techniques be identified? J Biomech. 2019;94:1–4.
  15. Stergiou N. Nonlinear analysis for human movement variability: CRC Press; 2018.
  16. Torrents C, Balagué N. Dynamic systems theory and sports training. Balt J Sport Health Sci. 2006;1(60).
  17. Favela LH. Dynamical systems theory in cognitive science and neuroscience. Philos Compass. 2020;15(8):e12695.
  18. Straiotto B, Marwan N, James D, Seeley P. Recurrence analysis discriminates martial art movement patterns. Eur Phys J Spec Top. 2023;232(1):151–9.
  19. Preatoni E, Hamill J, Harrison AJ, Hayes K, Van Emmerik RE, Wilson C, et al. Movement variability and skills monitoring in sports. Sports Biomech. 2013;12(2):69–92.
  20. Ranganathan R, Lee M-H, Newell KM. Repetition without repetition: Challenges in understanding behavioral flexibility in motor skill. Front Psychol. 2020;11:2018.
  21. Marwan N, Romano MC, Thiel M, Kurths J. Recurrence plots for the analysis of complex systems. Phys Rep. 2007;438(5-6):237–329.
  22. Webber Jr CL, Zbilut JP. Recurrence quantification analysis of nonlinear dynamical systems. Tutorials in contemporary nonlinear methods for the behavioral sciences. 2005;94(2005):26–94.
  23. Kodama K, Yamagiwa H, Yasuda K. Bimanual coordination in a whole-body dynamic balance sport, slacklining: a comparison of novice and expert. Motor control. 2021;25(3):462–74.
  24. Schmit JM, Regis DI, Riley MA. Dynamic patterns of postural sway in ballet dancers and track athletes. Exp Brain Res. 2005;163(3):370–8.
  25. Stockl M, Lamb PF. The variable and chaotic nature of professional golf performance. J Sports Sci. 2018;36(9):978–84.
  26. Felici F, Rosponi A, Sbriccoli P, Filligoi GC, Fattorini L, Marchetti M. Linear and non-linear analysis of surface electromyograms in weightlifters. Eur J Appl Physiol. 2001;84(4):337–42.
  27. Kiefer AW, Riley MA, Shockley K, Sitton CA, Hewett TE, Cummins-Sebree S, et al. Multi-segmental postural coordination in professional ballet dancers. Gait Posture. 2011;34(1):76–80.
  28. Wallot S. Multidimensional cross-recurrence quantification analysis (MdCRQA) - a method for quantifying correlation between multivariate time-series. Multivariate Behav Res. 2019;54(2):173–91.
  29. Wallot S, Roepstorff A, Monster D. Multidimensional recurrence quantification analysis (MdRQA) for the analysis of multidimensional time-series: a software implementation in MATLAB and its application to group-level data in joint action. Front Psychol. 2016;7(NOV):1835.
  30. Li J, Wei N, Yue S, Li K, editors. Multidimensional recurrence quantification analysis of multi-muscle synergy in elderly during standing on slopes. 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC); 2020: IEEE.
  31. Zhao K, Wen H, Guo Y, Scano A, Zhang Z. Feasibility of recurrence quantification analysis (RQA) in quantifying dynamical coordination among muscles. Biomed Signal Process Control. 2023;79:104042.
  32. Criswell E. Cram’s introduction to surface electromyography. Jones & Bartlett Learning. 2010.
  33. Latash ML. Fundamentals of motor control: Academic Press; 2012.
  34. Marineau E, Ducas J, Mathieu J, Rodriguez ADP, Descarreaux M, Abboud J. From novice to expert: how expertise shapes motor variability in sports biomechanics—a scoping review. Scand J Med Sci Sports. 2024;34(8):e14706.
  35. Komar J, Seifert L, Thouvarecq R. What variability tells us about motor expertise: measurements and perspectives from a complex system approach. Mov Sport Sci Sci Motricité. 2015;89(3):65–77.
  36. Cignetti F, Schena F, Rouard A. Effects of fatigue on inter-cycle variability in cross-country skiing. J Biomech. 2009;42(10):1452–9.
  37. Bernstein N. The co-ordination and regulation of movements. Pergamon Press; 1967.
  38. Stergiou N, Decker LM. Human movement variability, nonlinear dynamics, and pathology: is there a connection? Hum Mov Sci. 2011;30(5):869–88.
  39. Esfandiarian-Nasab K, Eslami M, Salari-Esker F, Yousefpour R. Skill Differentiation in Wrestling: Relationship Between Muscle Complexity and Local Dynamic Stability in Neuromuscular Control. J Mot Behav. 2025(1940-1027):1–16.
 

 

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