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Automatic diagnosis system of tooth mobility for clinical use
H Oka1, T Yamamoto, K Saratani
1Faculty of Engineering, Okayama University, Japan.
Summary
This study introduces an automated system for measuring tooth mobility using vibration analysis. The system quantifies periodontal biomechanical parameters, offering reliable clinical insights for diagnosing tooth conditions.
Area of Science:
- Biomedical Engineering
- Periodontology
- Dental Diagnostics
Background:
- Tooth mobility assessment is crucial for diagnosing periodontal disease.
- Existing methods for evaluating tooth mobility can be subjective or lack quantitative data.
- Objective biomechanical parameters of the periodontium are needed for precise diagnosis.
Purpose of the Study:
- To develop and validate an automatic diagnosis system for quantitative evaluation of tooth mobility.
- To measure tooth mobility using objective biomechanical parameters like stiffness and damping coefficients.
- To assess the system's reliability and operational facility for daily clinical practice.
Main Methods:
- Developed an automatic system comprising a probe (vibrator, acceleration transducers) and a personal computer-based data analysis unit.
- Determined tooth mobility from periodontal vibration characteristics.
- Expressed mobility using biomechanical parameters (stiffness, damping coefficients) displayed as a triangular figure.
- Enabled dentists to measure mobility independently using a foot-switch.
Main Results:
- The system reliably quantifies tooth mobility using objective biomechanical parameters.
- Data from healthy and pathological teeth were collected and analyzed.
- The system successfully measured tooth mobility and parameter changes over time, including post-implantation.
Conclusions:
- The developed automatic diagnosis system is reliable and operationally suitable for clinical use.
- It provides objective biomechanical data for evaluating tooth mobility and periodontal health.
- The system offers advantages over previous methods for quantitative tooth mobility assessment.