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Surface EMG reliability using spectral analysis

J Buxbaum1, N Mylinski, F R Parente

  • 1Department of Physiology, School of Dentistry, University of Maryland, Baltimore, USA.

Journal of Oral Rehabilitation
|November 1, 1996
PubMed
Summary
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Surface electromyography (EMG) spectral analysis of masseter muscles is stable over six weeks in healthy adults. This method reliably differentiates jaw rest, chewing, and clenching states, supporting its use in temporomandibular dysfunction (TMD) research.

Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Dental Research

Background:

  • Surface electromyography (EMG) utility in temporomandibular dysfunction (TMD) management is debated.
  • Concerns exist regarding the long-term stability of EMG measurements within individuals.

Purpose of the Study:

  • To assess the stability and reliability of surface EMG spectral analysis parameters over time in healthy subjects.
  • To determine if EMG parameters can differentiate various jaw activity states.

Main Methods:

  • Eleven healthy adults (4 male, 7 female) with class I occlusion underwent EMG recordings of bilateral masseter muscles.
  • Data collected during rest, right/left chewing, and 50% maximal clench states across three sessions over six weeks.
  • Analysis included SP-50, central frequency, bandwidth, effective bandwidth, zero crossings, and power spectrum.

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Main Results:

  • EMG bandwidth, effective bandwidth, and power spectrum demonstrated stability over a six-week period.
  • These parameters were sensitive enough to distinguish between jaw rest, unilateral chewing, and maximal clenching.
  • Power spectra exhibited the highest sensitivity among the analyzed measures.

Conclusions:

  • Surface EMG spectral analysis of the masseter muscles is a reliable and stable method for use over six weeks in healthy individuals.
  • The analyzed EMG parameters, particularly power spectra, can effectively differentiate various functional jaw states.
  • Findings support the potential utility of surface EMG in TMD research and management.