• DocumentCode
    3696625
  • Title

    Relation between EMG signal activation and time lags using feature analysis during dynamic contraction

  • Author

    Nizam Uddin Ahamed;Omar Altwijri;S. A. M Matiur Rahaman;Nasim Ahmed;Mahdi Alqahtani;Kenneth Sundaraj

  • Author_Institution
    Mechatronic Engineering, Faculty of Manufacturing Engineering, University, Malaysia Pahang, Pekan 26600, Pahang, Malaysia
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This study examined the effects of electromyographic (EMG) signals from Biceps Brachii (BB) muscle on the root mean square (RMS)-time relationships during dynamic contraction. Ten healthy and right hand dominated male subjects were volunteered for the experiments. The RMS features were extracted from the corresponding EMG signals (amplitude of the full wave EMG) for 10 seconds in 5 minutes intervals between each trial. Ten seconds (or 10000 ms) were divided into 4 time lags to identify the muscle activity and relationship between EMG and time using different statistical analysing techniques, such as mean, regression analysis, correlation, ANOVA, and coefficient of variation (CoV) for muscle activity variation. The results shows that large positive linear association between EMG and endurance time where the points are close to the linear trend line (R squared = 0.93 and F-ratio = 453.1). Signal steadiness is better during last time lags (1.66% during 7501–10000 ms) compared to initial time duration (10.35% during 0–2500 ms).
  • Keywords
    "Electromyography","Muscles","Feature extraction","Elbow","Correlation","Protocols","Joints"
  • Publisher
    ieee
  • Conference_Titel
    Advanced Informatics: Concepts, Theory and Applications (ICAICTA), 2015 2nd International Conference on
  • Print_ISBN
    978-1-4673-8142-0
  • Type

    conf

  • DOI
    10.1109/ICAICTA.2015.7335359
  • Filename
    7335359