Jaw Rotation in Dysarthria Measured With a Single Electromagnetic Articulography Sensor

Am J Speech Lang Pathol. 2017 Jun 22;26(2S):596-610. doi: 10.1044/2017_AJSLP-16-0104.

Abstract

Purpose: This study evaluated a novel method for characterizing jaw rotation using orientation data from a single electromagnetic articulography sensor. This method was optimized for clinical application, and a preliminary examination of clinical feasibility and value was undertaken.

Method: The computational adequacy of the single-sensor orientation method was evaluated through comparisons of jaw-rotation histories calculated from dual-sensor positional data for 16 typical talkers. The clinical feasibility and potential value of single-sensor jaw rotation were assessed through comparisons of 7 talkers with dysarthria and 19 typical talkers in connected speech.

Results: The single-sensor orientation method allowed faster and safer participant preparation, required lower data-acquisition costs, and generated less high-frequency artifact than the dual-sensor positional approach. All talkers with dysarthria, regardless of severity, demonstrated jaw-rotation histories with more numerous changes in movement direction and reduced smoothness compared with typical talkers.

Conclusions: Results suggest that the single-sensor orientation method for calculating jaw rotation during speech is clinically feasible. Given the preliminary nature of this study and the small participant pool, the clinical value of such measures remains an open question. Further work must address the potential confound of reduced speaking rate on movement smoothness.

Publication types

  • Evaluation Study

MeSH terms

  • Adult
  • Biomechanical Phenomena
  • Case-Control Studies
  • Dysarthria / diagnosis
  • Dysarthria / physiopathology*
  • Dysarthria / psychology
  • Electromagnetic Phenomena*
  • Equipment Design
  • Feasibility Studies
  • Female
  • Humans
  • Jaw / physiopathology*
  • Magnets*
  • Male
  • Middle Aged
  • Preliminary Data
  • Rotation
  • Signal Processing, Computer-Assisted
  • Speech*
  • Time Factors
  • Transducers*
  • Young Adult