• DocumentCode
    1700604
  • Title

    The use of cross correlation function in onset detection of electromyographic signals

  • Author

    Soares, S.B. ; Coelho, R.R. ; Nadal, Jeremy

  • Author_Institution
    Lab. de Processamento de Sinais e Imagens Medicas, UFRJ, Rio de Janeiro, Brazil
  • fYear
    2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The use of electromyographic signals (EMG) to study muscle coordination requires robust methods to accurately detect EMG onset, especially when investigating anticipatory actions or the order of muscle recruitment during motion analysis. Some studies have used the normalized cross-correlation function (CCF) for estimating activation delays. This study aimed at evaluating the use of CCF to determine time delays between pairs of EMG, in comparison with a visual detection of EMG onset. 372 isotonic motion EMG from four different muscles from 31 subjects were analyzed during the movement of prone hip extension with knee extension. All comparisons including gluteus maximus muscle resulted with significant differences between methods. This found suggest that the use of CCF for evaluating delay in muscular activation onset requires caution, since this function takes into account the whole signal patterns and not only the EMG onsets.
  • Keywords
    biomechanics; electromyography; medical signal detection; medical signal processing; EMG onset detection; activation delay estimation; anticipatory actions; electromyographic signals; knee extension; motion analysis; muscle coordination; muscle recruitment order; normalized CCF; normalized cross correlation function; prone hip extension; Correlation; Delays; Electromyography; Hip; Muscles; Standards; Visualization; Cross-correlation function; electromyography; muscle activity; onset detection; signal conditioning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biosignals and Biorobotics Conference (BRC), 2013 ISSNIP
  • Conference_Location
    Rio de Janerio
  • ISSN
    2326-7771
  • Print_ISBN
    978-1-4673-3024-4
  • Type

    conf

  • DOI
    10.1109/BRC.2013.6487470
  • Filename
    6487470