• DocumentCode
    3450096
  • Title

    Acquisition and analysis of electromyograms of the human masseter muscle (bruxism detection)

  • Author

    Ruhland, J.L. ; Jeutter, D.C. ; Ackmann, J.J. ; Hoge, H.W. ; Jodat, R.W.

  • Author_Institution
    Coll. of Dentistry & Eng., Marquette Univ., Milwaukee, WI, USA
  • fYear
    1988
  • fDate
    4-7 Nov. 1988
  • Firstpage
    1135
  • Abstract
    The electromyograms (EMGs) from the human masseter muscles of a randomly sampled population were obtained to determine if there was a signal characteristic of these EMGs which could be used to distinguish accurately among the signals generated for some related mechanical activities. A custom-designed variable-gain EMG preamplifier/signal conditioner was constructed to sense and amplify the signals, which were digitally sampled, stored, and analyzed. Various time- and frequency-domain characteristics were estimated, and equivalence tests were performed on combinations of the power spectra. Distinctions in the characteristics of different activities on the whole were not clear-cut. However, it was found that the spectra for clenching and chewing activities of the dysfunctional persons in the test group were measurably different from the average statistics of the group.<>
  • Keywords
    bioelectric potentials; biomechanics; muscle; patient diagnosis; EMG acquisition; bruxism detection; chewing activities; clenching; custom-designed variable-gain EMG preamplifier/signal conditioner; diagnosis; digitally sampled; dysfunctional persons; electromyograms; equivalence tests; frequency-domain characteristics; human masseter muscle; power spectra; randomly sampled population; related mechanical activities; time domain characteristics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1988. Proceedings of the Annual International Conference of the IEEE
  • Conference_Location
    New Orleans, LA, USA
  • Print_ISBN
    0-7803-0785-2
  • Type

    conf

  • DOI
    10.1109/IEMBS.1988.94783
  • Filename
    94783