Dataset Open Access

Data from "Auditory tests for characterizing hearing deficits: The BEAR test battery"

Sanchez-Lopez, Raul; Nielsen, Silje Grini; El-Haj-Ali, Mouhamad; Bianchi, Federica; Fereczkowski, Michal; Cañete, Oscar; Wu, Mengfan; Neher, Tobias; Dau, Torsten; Sébastien Santurette

This repository contains raw and processed data used and described in:

R. Sanchez-Lopez, S.G. Nielsen, M. El-Haj-Ali, F. Bianchi, M, Fereckzowski, O. Cañete, M. Wu, T. Neher, T. Dau and S. Santurette (under review). ``Auditory tests for characterizing hearing deficits: The BEAR test battery,'' Int. J. of Audiology.

[Preprint available in medRxiv:
https://doi.org/10.1101/2020.02.17.20021949]

One aim of the Better hEAring Rehabilitation (BEAR) project is to define a new clinical profiling tool, a test-battery, for individualized hearing loss characterization. Whereas the loss of sensitivity can be efficiently assessed by pure-tone audiometry, it still remains a challenge to address supra-threshold hearing deficits using appropriate clinical diagnostic tools. In contrast to the classical attenuation-distortion model (Plomp, 1986), the proposed BEAR approach is based on the hypothesis that any listener’s hearing can be characterized along two dimensions reflecting largely independent types of perceptual distortions. Recently, a data-driven approach (Sanchez-Lopez et al., 2018) provided evidence consistent with the existence of two independent sources of distortion, and thus different auditory profiles. Eleven tests were selected for the clinical test battery, based on their feasibility, time efficiency and related evidence from the literature. The proposed tests were divided into five categories: audibility, speech perception, binaural-processing abilities, loudness perception, and spectro-temporal resolution. Seventy-five listeners with symmetric, mild-to-severe sensorineural hearing loss were selected from a clinical population of hearing-aid users. The participants completed all tests in a clinical environment and did not receive systematic training for any of the tasks. The analysis of the results focused on the ability of each test to pinpoint individual differences among the participants, relationships among the different tests, and determining their potential use in clinical settings. The results might be valuable for hearing-aid fitting and clinical auditory profiling.

Please cite this article when using the data

The Dataset BEAR3 has also been used in:

R. Sanchez-Lopez, M, Fereckzowski, T. Neher, S. Santurette and T. Dau,  (submitted). ``Robust auditory profiling: Improved data-driven method and profile definitions for better hearing rehabilitation,'' Proc. of ISAAR: Vol. 7, Nyborg, Denmark.

and

Sanchez-Lopez, R., Nielsen, S. G., Cañete, O., Fereczkowski, M., Wu, M., Neher, T., ... & Santurette, S. (2019). A clinical test battery for Better hEAring Rehabilitation (BEAR): Towards the prediction of individual auditory deficits and hearing-aid benefit. In 23rd International Congress on Acoustics (pp. 3841-3848). Deutsche Gesellschaft für Akustik eV.

 

Description of the files:

  • BEAR2.xlsx: Anonymized raw data obtained using the BEAR test battery.
  • BEAR3.xlsx: Anonymized processed data for statistical data analysis.
  • BEAR_Reliability.xlsx: Anonymized raw data similar to BEAR2 for the reliability study.
  • DataParticipants.xlsx: Anonymized basic data associated with the participants: Gender, Age, PTA, etc.
  • TestBatteryMethods_v1.0.pdf: Documentation of the test methods.

* The participant IDs in each of the files has been assigned randomly to ensure the anonymization of the data. The pseudo-anonymized data might be shared under request by direct correspondence with the authors.

Files (1.2 MB)
Name Size
BEAR2.xlsx
md5:d11860a47412702157d8f34441f01e41
152.3 kB Download
BEAR3.xlsx
md5:8a9e9bc6596d1a442cbd7e5ecbaf28fb
44.8 kB Download
BEAR_Reliability.xlsx
md5:6a3e127fbc9f4b133d22fb7a90448776
39.5 kB Download
DataParticipants.xlsx
md5:a8b6f51d4c0b9e66a62a36c11219eaa3
14.9 kB Download
TestBatteryMethods_v1.0.pdf
md5:1ce0f0279b4bfd0f5758e06dd8f7b69d
946.0 kB Download
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