• DocumentCode
    464824
  • Title

    On the Time-frequency Analysis of Trunk Muscles During Sudden Release of Load

  • Author

    Tsui, K.M. ; Zhang, Zhiguo ; Chan, S.C. ; Hu, Yong ; Luk, K.D.K.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Hong Kong Univ., Pokfulam Road
  • fYear
    2007
  • fDate
    27-30 May 2007
  • Firstpage
    1309
  • Lastpage
    1312
  • Abstract
    This paper studies the time-frequency analysis of trunk response based on surface electromyography (EMG) under an experimental protocol of sudden load release. Due to difficulties in feature extraction of surface EMG in short-time muscular reflex using conventional time-frequency analysis algorithms, a novel method called adaptive Lomb periodogram (ALP) is employed to improve the time and frequency resolutions by adaptively selecting the window sizes. Experimental results demonstrate the improved time-frequency resolution of the ALP in analyzing the EMG signals compared with conventional methods using scalogram. The findings of this study would provide important information in devising objective and quantitative protocol for neuromuscular function assessment, which are applicable to rehabilitation of low back pain patients, motor control and training, elderly fall prevention and ergonomic studies.
  • Keywords
    electromyography; feature extraction; neuromuscular stimulation; patient rehabilitation; time-frequency analysis; EMG signals; adaptive Lomb periodogram; feature extraction; low back pain patients; motor control; muscular reflex; neuromuscular function assessment; scalogram; sudden load release; surface electromyography; time-frequency analysis; trunk muscles; Electromyography; Feature extraction; Muscles; Neuromuscular; Pain; Protocols; Response surface methodology; Signal analysis; Signal resolution; Time frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2007. ISCAS 2007. IEEE International Symposium on
  • Conference_Location
    New Orleans, LA
  • Print_ISBN
    1-4244-0920-9
  • Electronic_ISBN
    1-4244-0921-7
  • Type

    conf

  • DOI
    10.1109/ISCAS.2007.378412
  • Filename
    4252887