Relationship between Muscle Synergies and Skills of Basketball Players

Publish Year: 1400
نوع سند: مقاله ژورنالی
زبان: English
View: 277

This Paper With 10 Page And PDF Format Ready To Download

  • Certificate
  • من نویسنده این مقاله هستم

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

شناسه ملی سند علمی:

JR_IJMP-18-1_005

تاریخ نمایه سازی: 19 دی 1399

Abstract:

Introduction: “Muscular synergy” is one of the methods for determining the relationship between the central nervous system and muscles which are involved in performing a specific movement. To perform each movement, certain patterns are followed through the central nervous system that control the number of synergies, and these patterns are modified and optimized during the skill. Thepresent study aimed to classify basketball athletes based on muscular synergy analysis. Material and Methods: For the purpose of the study, the electromyography (EMG) signals of six dominant hand muscles were recorded during performing three basketball skills. Subsequently, synergy was identified using the non-negative matrix factorization method. In the next stage, the cosine similarity feature was calculated separately; furthermore, the time and frequency of the main signal were analyzed, and the neural network was evaluated using MATLAB software. Results: The result of the classification was obtained by applying the dimensioned reduced matrix of all the existing features with a reliability of 73.68%. In addition, the results demonstrated that the cosine similarities between the muscles of each person could lead to the training of the neural network and classification of individuals at different levels of skill. Conclusion: The present study suggested a new idea regarding synergistic features for classifying athletes based on EMG signal. However, the use of time and frequency features only facilitated differentiation between a maximum of two groups.

Authors

Fereidoun Nowshiravan Rahatabad

Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.

Keivan Maghooli

Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

Talat Rahimi Balan

Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

مراجع و منابع این Paper:

لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :
  • Lindberg M, Frisk-Kempe K, Linderhed H, Eklund J. Musculoskeletal disorders, ...
  • Roman-Liu D, Bartuzi P. The influence of wrist posture on ...
  • Finneran A, O'Sullivan L. Effects of grip type and wrist ...
  • Bassement M, Garnier C, Goss-Sampson M, Watelain E, Lepoutre FX. ...
  • Frère J, Göpfert B, Slawinski J, Tourny-Chollet C. Effect of ...
  • Charlton PC, Mentiplay BF, Grimaldi A, Pua YH, Clark RA. ...
  • Bahalgerdy F. The Combination of Reinforcement Learning and Synergy Patterns ...
  • Kaboodvand V. Extraction and analysis of muscle synergies in arm ...
  • Sabzevari V. Extraction of hand muscle synergies in reaching movement ...
  • Cole NM, Ajiboye AB. Muscle synergies for predicting non-isometric complex ...
  • Hu ZX, Xu SQ, Hao MZ, Xiao Q, Lan N. ...
  • Li T, Chen X, Cao S, Zhang X, Chen X. ...
  • Lee D, Seung S. Algorithms for non-negative matrix factorization. Adv ...
  • D'Avella A, Tresch MM. Modularity in the motor system: decomposition ...
  • Wojtara T, Alnajjar F, Shimoda S, Kimura H. Muscle synergy ...
  • Steele KM, Rozumalski A, Schwartz MH. Muscle synergies and complexity ...
  • Sabzevari VR, Jafari AH, Boostani R. Muscle synergy extraction during ...
  • Zardoshti-Kermani M, Wheeler BC, Badie K, Hashemi RM. EMG feature ...
  • Hudgins B, Parker P, Scott RN. A new strategy for ...
  • Oskoei MA, Hu H. Support vector machine-based classification scheme for ...
  • Phinyomark A, Phukpattaranont P, Limsakul C. Feature reduction and selection ...
  • Du S, Vuskovic M. Temporal vs. spectral approach to feature ...
  • Rahatabad FN, Jafari AH, Fallah A, Razjouyan J. A fuzzy-genetic ...
  • Rahatabad FN, Fallah A, Jafari AH. A study of chaotic ...
  • Kim HK, Carmena JM, Biggs SJ, Hanson TL, Nicolelis MA, ...
  • Azab AM, Onsy A, El-Mahlawy MH. Design and development of ...
  • https://www.biopac.com/wp-content/uploads/EMG-Guide.pdf available at: 12/November 2019 ...
  • Konrad P. The ABC of EMG: A practical introduction to ...
  • Maleki A. Modeling and Reanimation Control of Paralysed Arm for ...
  • Tang L, Li F, Cao S, Zhang X, Wu D, ...
  • نمایش کامل مراجع