Evaluation of a maximum likelihood procedure for measuring pure-tone thresholds under computer control

Area of Science:

• Audiology
• Biomedical Engineering
• Signal Processing

Background:

• Hearing conservation programs are crucial for employee health.
• Accurate audiometric pure-tone threshold estimation is vital for diagnosing hearing loss.
• Automated audiology tools can potentially improve clinical efficiency.

Purpose of the Study:

• To evaluate an adaptive, maximum likelihood (ML) procedure for automated audiometric pure-tone threshold estimation.
• To compare the accuracy and efficiency of the ML procedure against conventional (CONV) audiometry.
• To assess the feasibility of using ML procedures in a clinical setting for hearing rechecks.

Main Methods:

• A maximum likelihood (ML) procedure was employed for automated threshold measurement.
• Pure-tone air-conduction thresholds were measured bilaterally across standard audiometric frequencies in 101 workmen.
• A modified 'yes-no' task with computer-controlled signal level adjustments was utilized.

Main Results:

• The ML procedure demonstrated favorable comparison with conventional audiometry in threshold measurement accuracy.
• Conventional audiometry was found to be approximately twice as fast as the ML procedure.
• The longer duration of the ML procedure was attributed to the increased number of trials required for threshold estimation.

Conclusions:

• The adaptive ML procedure is a viable automated tool for estimating audiometric pure-tone thresholds.
• While ML procedures require more time, they offer comparable accuracy to conventional methods.
• Further research may focus on optimizing ML procedures to reduce testing time for clinical application.