• DocumentCode
    144653
  • Title

    The convenient balance evaluation system

  • Author

    Yu-Chen Wang ; Chong-Kai Huang ; Wai-Keung Lee ; Ying-Po Hsu ; Liang-Yu Chen ; Hsin-Yi Guo ; Yin Chi Chang ; Ching-Lam Wong ; Sz-Chi Chiou ; Jiun-Ling Chang ; Pei-Hsun Shin ; Chia-Yen Yang ; Tsorng-Lin Chia ; Shih-Tsang Tang

  • Author_Institution
    Dept. of Biomed. Eng., Ming Chuan Univ., Taipei, Taiwan
  • Volume
    2
  • fYear
    2014
  • fDate
    26-28 April 2014
  • Firstpage
    914
  • Lastpage
    917
  • Abstract
    For the aging society, the elderly often encountered accidental fall injuries or suffering from certain diseases to cause balance difficulties in walking. As a result, there is the need to improve the balance by rehabilitation. However whether the static or dynamic balance tests, which needs force plate or motion capture system. The test is often constrained by the specific time and place associated with the expensive equipment. This study integrated the electromyography (EMG) and inertial measurement unit (IMU) to develop a convenient balance evaluation system which measures and wirelessly transmit signals to the computer, and then processing the signal by National Instruments (NI) LabVIEW 2012. The measurement results would immediately presented. Since the IMU and EMG can detect the body movement, displacement of the mass center, muscle activities. Integrating of the IMU and EMG could reach body balance measurement and analysis, and the subject could free from the space constraints. For the physical therapist, the proposed system provides the better understanding in the patient´s sense of balance, and then the therapist could easily evaluate and modify the rehabilitation course. In addition to the rehabilitation purpose, this system could also be used to train the athletes, and to assist in choosing the best athlete.
  • Keywords
    body sensor networks; data communication; electromyography; gait analysis; geriatrics; mechanoception; medical signal detection; medical signal processing; motion compensation; patient rehabilitation; telemedicine; accidental fall injuries; aging society; athletes; body balance measurement; body movement detection; diseases; dynamic balance tests; elderly people; electromyography; force plate; inertial measurement unit; motion capture system; muscle activities; patient rehabilitation; signal processing; static balance tests; walking; wirelessly signal transmission; Acceleration; Electromyography; Instruments; Muscles; Wireless communication; Wireless sensor networks; Balance; Body Sensor Networks; EMG; IMU;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
  • Conference_Location
    Sapporo
  • Print_ISBN
    978-1-4799-3196-5
  • Type

    conf

  • DOI
    10.1109/InfoSEEE.2014.6947801
  • Filename
    6947801