• DocumentCode
    2611758
  • Title

    In vivo estimation of dynamic muscle-tendon moment arm length using a wearable sensor system

  • Author

    Zheng, Rencheng ; Liu, Tao ; Kyoko, Shibata ; Inoue, Yoshio

  • Author_Institution
    Dept. of Intell. Mech. Syst. Eng., Kochi Univ. of Technol., Kami
  • fYear
    2008
  • fDate
    2-5 July 2008
  • Firstpage
    647
  • Lastpage
    652
  • Abstract
    In this research, the dynamic moment arm length of legpsilas muscle-tendon groups, including Soleus (SO), Tibilis Anterior (TA), Biceps Femoris Caput Breve (BS), Glusteus (GU), Vastus (VA), Iliopsoas (IL), Gastrocnemius (GA), Rectus Femoris (RF) and Hamstring (HA), was estimated in the sagittal plane based on a wearable sensor system. The wearable sensor system for body motion analysis in daily environment was used to measure kinematical data of lower extremities during gait instead of optical camera system that is laboratory-restricted. A serious of regression equations by inputting morphological parameters of lower extremities osteology was used to calculate a muscle-tendon origin-insertion coordinates in a coordinates system of musculoskeletal model. The morphological parameters of lower extremities osteology can be easily and directly measured by in vivo human body. By integration of the kinematical data and the musculoskeletal model, an algorithm was developed to estimate dynamic muscle-tendon moment arm length not only suitable for the simple articular muscles but also for the biarticular muscles. The result suggested the method in our study is feasible to estimate dynamic muscle-tendon moment arm length in human daily activities.
  • Keywords
    image sensors; manipulator kinematics; Biceps Femoris Caput Breve; Gastrocnemius; Glusteus; Iliopsoas; Vastus; body motion analysis; dynamic muscle-tendon moment arm length; in vivo estimation; muscle-tendon origin-insertion coordinates; optical camera system; wearable sensor system; Biological system modeling; Extremities; Humans; In vivo; Motion analysis; Motion measurement; Muscles; Musculoskeletal system; Radio frequency; Wearable sensors; muscle-tendon moment arm; musculoskeletal model; wearable sensor system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Intelligent Mechatronics, 2008. AIM 2008. IEEE/ASME International Conference on
  • Conference_Location
    Xian
  • Print_ISBN
    978-1-4244-2494-8
  • Electronic_ISBN
    978-1-4244-2495-5
  • Type

    conf

  • DOI
    10.1109/AIM.2008.4601736
  • Filename
    4601736