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Activity recognition in long-term electromyograms

L M Gallo1, S Palla

  • 1Center for Dental and Oral Medicine and Maxillofacial Surgery, University of Zurich, Switzerland.

Journal of Oral Rehabilitation
|June 1, 1995
PubMed
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This study introduces a method to automatically detect jaw muscle activities like clenching and grinding using portable electromyography. These findings aid in understanding masticatory system disorders.

Area of Science:

  • Biomedical Engineering
  • Neurology
  • Dental Science

Background:

  • Masticatory system myoarthropathy may stem from muscle overuse or oral habits.
  • Long-term muscle behavior in natural environments is poorly understood.
  • Portable electromyography offers insights into daily muscle activity.

Purpose of the Study:

  • To define parameters for automatic recognition of oral activities from electromyograms.
  • To differentiate between functional and parafunctional jaw muscle activities.
  • To establish a basis for diagnosing masticatory system disorders.

Main Methods:

  • Four volunteers performed functional and parafunctional activities.
  • Portable intelligent solid-state recorders captured masseter and temporal muscle electromyograms.

Related Experiment Videos

  • Signal mean level (mw) and dynamics (dw) were analyzed within a sliding window.

    • Main Results:

    • Temporal muscle recordings improved discrimination between function and simulated parafunction.
    • Distinct parameters (dw/mw) at a 0.96s window separated chewing, clenching, and grinding.
    • Specific mw averages were recorded for clenching (51.4%) and tooth grinding (21.2%).

    Conclusions:

    • Automatic electromyogram analysis can identify jaw muscle activities.
    • This method aids in studying masticatory muscle behavior over time.
    • Findings support investigating oral habits and muscle overuse in myoarthropathy.