• DocumentCode
    2776890
  • Title

    Surface EMG signals determinism analysis based on recurrence plot for hand grasps

  • Author

    Gaoxiang Ouyang ; Zhaojie Ju ; Honghai Liu

  • Author_Institution
    Intell. Syst. & Biomed. Robot. Group, Univ. of Portsmouth, Portsmouth, UK
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper proposes determinism measure (DET) based on recurrence plot, which is capable of showing the recurrence property of a deterministic dynamical system, to evaluate the dynamical characteristics of the surface electromyogram (sEMG) during three different hand movements. In addition, the linear discriminant analysis (LDA) is applied to evaluate the performance of the above measures to identify these three hand grasp movements. The experimental result shows that the recognition rate, 96.7%, based on the combination of the linear and non-linear measures is much higher than that with only linear measures, and DET might be a potential tool to reveal the sEMG hidden characteristics of hand grasp movements.
  • Keywords
    electromyography; medical signal processing; EMG signals determinism analysis; determinism measure; deterministic dynamical system; dynamical characteristics; hand grasps; hand movements; linear discriminant analysis; nonlinear measures; recurrence plot; surface electromyogram; Data mining; Electrodes; Electromyography; Feature extraction; Muscles; Space vehicles; Trajectory; Determinsm; hand grasp; recurrence plot (RP); surface electromyogram (sEMG);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), The 2012 International Joint Conference on
  • Conference_Location
    Brisbane, QLD
  • ISSN
    2161-4393
  • Print_ISBN
    978-1-4673-1488-6
  • Electronic_ISBN
    2161-4393
  • Type

    conf

  • DOI
    10.1109/IJCNN.2012.6252750
  • Filename
    6252750