• DocumentCode
    663013
  • Title

    How the selection of muscles influences their synergies? A preliminary study using real data

  • Author

    Pirondini, E. ; Coscia, M. ; Crema, A. ; Mancuso, Matthew ; Micera, Silvestro

  • fYear
    2013
  • fDate
    6-8 Nov. 2013
  • Firstpage
    581
  • Lastpage
    584
  • Abstract
    Muscle synergies have been proposed as building blocks that simplify the construction of movements, and as a method to study motor behavior. However, the pre-processing of the EMG signals and the factorization algorithm may impact on their extraction and meaning. This preliminary work aimed at investigating the influence of the selection of the muscles on muscle synergies analysis. In particular, muscle synergies have been extracted from datasets including different upper limb muscles, recorded during the execution of planar reaching and grasping movements. Results suggested that the amount of degrees of freedom activated by the muscles considered in the analysis determines the number of muscle synergies, while muscle redundancy does not affect muscle synergies extraction. In conclusion, the number of muscle synergies is influenced not only by the task constraints and the performance of the movement, but also by the choice of the muscles. Therefore, both aspects have to be carefully considered to design muscle synergies analysis and to compare results from different studies.
  • Keywords
    biomechanics; electromyography; feature extraction; feature selection; medical signal processing; EMG signal preprocessing; degrees-of-freedom; factorization algorithm; feature extraction; grasping movements; motor behavior; movement construction; muscle redundancy; muscle selection; muscle synergies analysis; planar reaching movements; upper limb muscles; Algorithm design and analysis; Electromyography; Grasping; Muscles; Redundancy; Thumb;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    1948-3546
  • Type

    conf

  • DOI
    10.1109/NER.2013.6696001
  • Filename
    6696001