Computational Simulation and Experimental Validation of Acoustic Reflectometry in Otitis Media.

Area of Science:

• Biomedical Engineering
• Medical Diagnostics
• Acoustics

Background:

• Otitis Media (OM) is a common childhood illness causing hearing loss and high healthcare costs.
• Current diagnostic methods for OM face challenges with accuracy and cost, especially in developing nations.
• Acoustic Reflectometry (AR) is a potential low-cost, non-invasive alternative but requires improved accuracy.

Purpose of the Study:

• To develop and validate a computational simulation and experimental model for Acoustic Reflectometry (AR).
• To assess the feasibility of AR for diagnosing Otitis Media (OM) in children.
• To analyze the impact of user error on AR measurements.

Main Methods:

• Developed a computational simulation model to replicate AR measurements.
• Created an experimental setup to perform AR on human ears.
• Validated both models against human subjects with and without OM.
• Conducted a sensitivity analysis on AR instrument user error.

Main Results:

• The computational simulation successfully reproduced human AR measurements and differentiated between healthy and OM ears.
• The experimental model provided satisfactory OM measurements but was less accurate for normal ears.
• Both simulation and experiment tended to overpredict sound reflection in OM cases.
• Sensitivity analysis indicated good robustness of AR measurements concerning user error.

Conclusions:

• Computational simulation is a valuable tool for researching AR and can complement experimental approaches.
• AR shows potential for improved OM diagnostics, particularly with further refinement of models.
• Future research should prioritize pediatric ear models and simulations of partially filled middle ears for clinical relevance.