• DocumentCode
    1884052
  • Title

    In vivo behavior of human muscle during isometric ramp contraction: A simultaneous EMG, MMG and ultrasonography investigation

  • Author

    Ni, Dong ; Chen, Xin ; Yi, Wanguan ; Zheng, Yong-Ping ; Zhu, Zhenyu ; Chan, Shing-Chow

  • Author_Institution
    Sch. of Med., Shenzhen Univ., Shenzhen, China
  • fYear
    2012
  • fDate
    12-15 Aug. 2012
  • Firstpage
    59
  • Lastpage
    62
  • Abstract
    The purpose of this study was to investigate the electromyography (EMG), mechanomyography (MMG), and the muscle architecture, i.e. cross-sectional area (CSA), amplitude versus torque relationships during voluntary isometric ramp contractions. The ultrasound images, EMG and MMG signals were simultaneously recorded from the rectus femoris (RF) muscle. A novel image processing algorithm was developed to automatically extract cross-sectional area (CSA) from ultrasound images. The root mean square (RMS) amplitudes of the EMG and MMG were computed on adjacent epochs in synchronization with the ultrasound images. Polynomial regression analyses indicated that both EMG and MMG amplitudes increased and CSA decreased curvilinearly with torque increment, and the change fashion of CSA was significantly different from those of EMG and MMG. The results demonstrated that the continuous change of CSA can provide useful information about muscle contractions. It may therefore complement EMG and MMG for studying muscle activation strategies.
  • Keywords
    biomedical ultrasonics; electromyography; medical image processing; regression analysis; EMG; MMG; adjacent epochs; cross-sectional area; electromyography; in vivo behavior; isometric ramp contraction; mechanomyography; polynomial regression analyses; rectus femoris muscle; synchronization; torque increment; ultrasonography; Electromyography; Image processing; Muscles; Radio frequency; Torque; Ultrasonography; cross-sectional area; electromyography; isometric contraction; mechanomyography; ultrasonography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, Communication and Computing (ICSPCC), 2012 IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4673-2192-1
  • Type

    conf

  • DOI
    10.1109/ICSPCC.2012.6335709
  • Filename
    6335709