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Optimization of sequential test strategies for auditory Steady-State responses using Monte Carlo simulations for
João Victor Dias Galdino1, Marllon Dayvid Fernandes Lima1, Tiago Zanotelli2
1Department of Electrical Engineering, Federal Institute of Education Science and Technology of Minas Gerais - Ipatinga Campus, Ipatinga, MG, Brazil.
Computer Methods in Biomechanics and Biomedical Engineering
|February 9, 2026
Summary
This study optimized auditory steady-state response detection for automatic tonal audiometry using sequential testing. Simulation-based methods effectively minimized test time while preserving accurate hearing detection, validated with real EEG data.
Area of Science:
- Auditory Neuroscience
- Signal Processing
- Medical Diagnostics
Background:
- Automatic tonal audiometry aims to streamline hearing assessments.
- Auditory steady-state responses (ASSRs) are crucial for objective hearing evaluation.
- Sequential testing strategies can enhance efficiency in diagnostic procedures.
Purpose of the Study:
- To investigate and optimize sequential test strategies for automatic tonal audiometry using auditory steady-state responses.
- To minimize mean examination time while maintaining high detection power for ASSRs.
- To validate simulation-based optimization parameters against real electroencephalogram (EEG) data.
Main Methods:
- Monte Carlo simulations were used to optimize parameters for sequential test strategies.
- Optimization focused on balancing examination time and detection probability against signal-to-noise ratio (SNR).
- Simulated optimal parameters were compared with results obtained from real EEG data.
Main Results:
- The simulation-based optimization successfully identified parameters to minimize mean examination time for ASSR detection.
- The optimized strategies maintained robust detection power across various signal-to-noise ratios.
- Simulated optimal settings closely aligned with parameters derived from real EEG data, confirming the approach's validity.
- A minor discrepancy was noted for small epoch sizes in real data analysis.
Conclusions:
- Simulation-based optimization is an effective approach for developing efficient sequential test strategies in automatic tonal audiometry.
- The validated method can significantly reduce examination time for auditory steady-state response detection.
- This approach holds promise for improving the speed and efficiency of objective hearing assessments.
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