Statistical signal processing methods for intraoral pressure curve analysis in orthodontics

Area of Science:

• Dentistry
• Biomechanics
• Orthodontics

Background:

• Intraoral pressure conditions in malocclusion require further understanding for improved orthodontic treatments.
• Analyzing pressure curves during rest, activity, and swallowing can offer insights into malocclusion aetiology.
• Current methods may not fully capture the dynamic intraoral pressure landscape.

Purpose of the Study:

• To develop and evaluate algorithms for extracting swallowing peaks and plateau stages from intraoral pressure data.
• To compare established curve characteristics (e.g., average pressure, peaks, resting phases) across different malocclusion groups.
• To assess the usefulness and correlation of these characteristics for a comprehensive understanding of intraoral pressure.

Main Methods:

• Development and evaluation of algorithms for identifying swallowing peaks and plateau stages in pressure curves.
• Comparison of intraoral pressure curve characteristics using statistical tests (Kruskal-Wallis) across Angle Class I, II division 1, and II division 2 malocclusion groups.
• Correlation analysis (Kendall's τ) to determine the relationship between different curve characteristics.

Main Results:

• Algorithms successfully extracted swallowing peaks and plateau stages.
• Some derived curve characteristics were found to be uncorrelated, indicating they provide distinct information.
• Significant differences in curve characteristics were observed among the malocclusion groups.

Conclusions:

• The study provides a novel approach to characterizing intraoral pressure in malocclusion.
• Employing the described curve characteristics offers a holistic view of factors influencing dentition formation.
• This methodology can enhance diagnostic capabilities and refine orthodontic treatment strategies.