• DocumentCode
    1452549
  • Title

    Analysis and comparison of reflex times and electromyogram of cervical muscles under impact loading using surface and fine-wire electrodes

  • Author

    Wittek, Adam ; Ono, Koshiro ; Kajzer, Janusz ; Örtengren, Roland ; Inami, Satoshi

  • Author_Institution
    Crash Safety Res. Div., Japan Autom. Res. Inst., Ibaraki, Japan
  • Volume
    48
  • Issue
    2
  • fYear
    2001
  • fDate
    2/1/2001 12:00:00 AM
  • Firstpage
    143
  • Lastpage
    153
  • Abstract
    Myoelectric signals [electromyograms (EMGs)] can be collected using either surface or fine-wire electrodes. Application of the latter results in higher-frequency contents of EMG. In the field of impact biomechanics, surface electrodes are more often utilized than fine-wire ones. However, the removal of motion artefacts from EMG recorded under transient loads requires application of high-pass filters with relatively high cutoff frequencies, which may eliminate a significant part of the surface EMG power spectra. Therefore, in the current study, both surface and fine-wire electrodes were utilized to record the EMG of cervical muscles under conditions simulating a rear-end car collision at low speed. The results indicated that application of high-pass filtering at 50 Hz can be necessary to remove motion artefacts from the EMG collected under such conditions. Such filtering resulted in a higher decrease in amplitude of the surface EMG than that of the fine-wire one. However, the reflex times obtained here were not significantly affected by the type of the electrodes utilized to collect EMG.
  • Keywords
    biomechanics; biomedical electrodes; electromyography; impact (mechanical); kinematics; medical signal processing; 50 Hz; cervical muscles; fine-wire electrodes; high-pass filtering; impact loading; low speed rear-end car collision; motion artefacts; surface EMG power spectra; surface electrodes; transient loads; Biological system modeling; Biomechanics; Computer crashes; Cutoff frequency; Electrodes; Electromyography; Filtering; Humans; Muscles; Vehicle safety; Artifacts; Electrodes; Electromyography; Fourier Analysis; Humans; Male; Models, Biological; Neck Muscles; Reaction Time; Reference Values; Reflex, Stretch; Signal Processing, Computer-Assisted; Weight-Bearing; Whiplash Injuries;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.909635
  • Filename
    909635