• DocumentCode
    3775430
  • Title

    Design of movement sequences for arm rehabilitation of post-stroke

  • Author

    Rashidah Suhaimi;Kamil. S. Talha;Khairunizam Wan;Mohd Asri Ariffin

  • Author_Institution
    Advanced Intelligent Computing and Sustainability, Research Group, School of Mechatronic, Universiti Malaysia Perlis, Kampus Pauh Putra, 02600, Arau, MALAYSIA
  • fYear
    2015
  • Firstpage
    320
  • Lastpage
    324
  • Abstract
    This article presents the design of movement sequences for arm rehabilitation of stroke patient. The objective of this research is to develop the best movement sequences suitable for arm rehabilitation of hemiparesis sufferers based on the features analyzed that represent muscle activity. 8 healthy subjects including both male and female performed four arm movement sequences task consist of arm lifting and reaching movement in real environment. Muscle activities are recorded using electromyography (EMG) involving deltoid anterior, deltoid lateral, biceps and triceps. Based on the previous research, Amount of movement (AOM) feature is calculated to observe the muscle activation for each movement sequence task. The experimental results show that it is likely to produce optimum arm movement sequences for arm rehabilitation and the sequences are suitable to deploy in virtual reality in future research.
  • Keywords
    "Muscles","Electromyography","Conferences","Virtual reality","Training","Feature extraction","Control systems"
  • Publisher
    ieee
  • Conference_Titel
    Control System, Computing and Engineering (ICCSCE), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ICCSCE.2015.7482205
  • Filename
    7482205