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Related Experiment Videos

Objective evaluation of normal facial function.

H Scriba1, S J Stoeckli, D Veraguth

  • 1Department of Dentofacial Orthopedics, University of Zurich, Switzerland.

The Annals of Otology, Rhinology, and Laryngology
|August 6, 1999
PubMed
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Objective computer-assisted methods accurately assess normal facial movements. The OSCAR method reveals physiological facial asymmetry ranges from 7-9%, outperforming subjective grading systems.

Area of Science:

  • Medical imaging
  • Biomechanical analysis
  • Facial dynamics

Background:

  • Assessing facial movement symmetry is crucial for diagnosing neurological and muscular disorders.
  • Subjective grading systems like House-Brackmann and Fisch have limitations in accurately quantifying subtle asymmetries.
  • Objective measurement methods are needed for precise evaluation of facial motor function.

Purpose of the Study:

  • To evaluate normal facial movements using the objective, computer-assisted OSCAR (Objective, Sensitive, Computerized, Assessment of the face) method.
  • To quantify the degree of physiological asymmetry in healthy individuals during various facial expressions.
  • To compare the accuracy of the OSCAR method with subjective clinical grading systems.

Main Methods:

  • Twenty healthy volunteers underwent computerized black-and-white video recording of facial movements.

Related Experiment Videos

  • Recordings captured the face at rest, during forehead wrinkling, forced eye closure, and forced smiling.
  • The OSCAR method was employed to analyze regional and global facial symmetry indices.

    • Main Results:

    • Mean regional symmetry indices were 91% for forehead wrinkling, 93% for eye closure, and 91% for smiling.
    • The global symmetry index was 92%, with physiological dynamic asymmetry ranging from 7% to 9%.
    • No dominant facial side was identified, and the OSCAR method demonstrated superior accuracy over subjective methods.

    Conclusions:

    • The OSCAR method provides an objective and accurate assessment of normal facial movements and physiological asymmetry.
    • Computer-assisted analysis is essential for precise determination of facial movement dynamics, surpassing subjective evaluations.
    • The study establishes normative data for facial symmetry in healthy individuals, aiding in the detection of abnormalities.