In-situ Hearing Threshold Estimation using Gaussian Process Classification

Author:

Boven Christopher1,Roberts Reagan1,Biggus Jeff1,Patel Malini2,Matsuoka Akihiro J.3,Richter Claus-Peter3

Affiliation:

1. Soundwave Hearing, LLC

2. Northwestern Medical Group

3. Northwestern University

Abstract

Abstract One in six Americans suffers from hearing loss. While treatment with amplification is possible for many, the acceptance rate of hearing aids is low. Poor device fitting is one of the reasons. The hearing aid fitting starts with a detailed hearing assessment by a trained audiologist in a sound-controlled environment, using standard equipment. The hearing aid is adjusted step-by-step, following well-described procedures based on the audiogram. However, for many patients in rural settings, considerable travel time to a hearing center discourages them from receiving a hearing test and treatment. We hypothesize that hearing assessment with the patient’s hearing aid can reliably substitute the hearing test in the clinic. Over-the-counter hearing aids could be programmed from a distance and can be fine-tuned by the hearing aid wearer. This study shows that a patient-controlled hearing assessment via a hearing aid in a non-clinical setting is not statistically different from an audiologist-controlled hearing assessment in a clinical setting. The differences in hearing obtained with our device and the Gaussian Process are within 3 dB of the standard audiogram. At 250 Hz, the sound delivery with the hearing aid used in this study added an additional reduction of sound level, which was not compensated.

Publisher

Research Square Platform LLC

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5. Barbour, D.L., Howard, R.T., Song, X.D., Metzger, N., Sukesan, K.A., DiLorenzo, J.C., Snyder, B.R.D., Chen, J.Y., Degen, E.A., Buchbinder, J.M., Heisey, K.L. 2019b. Online Machine Learning Audiometry. Ear Hear 40, 918–926.

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