Unilateral hearing loss: benefit of amplification in sound localization, temporal ordering and resolution

Mondelli, Maria Fernanda Capoani Garcia; Santos, Marina De Marchi; Feniman, Mariza Ribeiro

doi:10.1590/2317-1782/20192018202

Cited by 6 publications

(11 citation statements)

References 23 publications

(37 reference statements)

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“…Thus, we can clinically hypothesize the left/right imbalance using the fact that the sound stimuli coming through right ear is more advantageous for the auditory functions. In this context, there have been several reports that the right ear showed better results in auditory rehabilitation and temporal resolutions [44][45][46]. Based on such observations, we can conjecture the that the Random Forest model's performance (including its misclassifications) is a result of such auditory system characteristics.…”

Section: Difference In the Sds Prediction Between Left And Right Earsmentioning

confidence: 77%

Predicting speech discrimination scores from pure-tone thresholds—A machine learning-based approach using data from 12,697 subjects

et al. 2021

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Diagnostic tests for hearing impairment not only determines the presence (or absence) of hearing loss, but also evaluates its degree and type, and provides physicians with essential data for future treatment and rehabilitation. Therefore, accurately measuring hearing loss conditions is very important for proper patient understanding and treatment. In current-day practice, to quantify the level of hearing loss, physicians exploit specialized test scores such as the pure-tone audiometry (PTA) thresholds and speech discrimination scores (SDS) as quantitative metrics in examining a patient’s auditory function. However, given that these metrics can be easily affected by various human factors, which includes intentional (or accidental) patient intervention, there are needs to cross validate the accuracy of each metric. By understanding a “normal” relationship between the SDS and PTA, physicians can reveal the need for re-testing, additional testing in different dimensions, and also potential malingering cases. For this purpose, in this work, we propose a prediction model for estimating the SDS of a patient by using PTA thresholds via a Random Forest-based machine learning approach to overcome the limitations of the conventional statistical (or even manual) methods. For designing and evaluating the Random Forest-based prediction model, we collected a large-scale dataset from 12,697 subjects, and report a SDS level prediction accuracy of 95.05% and 96.64% for the left and right ears, respectively. We also present comparisons with other widely-used machine learning algorithms (e.g., Support Vector Machine, Multi-layer Perceptron) to show the effectiveness of our proposed Random Forest-based approach. Results obtained from this study provides implications and potential feasibility in providing a practically-applicable screening tool for identifying patient-intended malingering in hearing loss-related tests.

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Section: Difference In the Sds Prediction Between Left And Right Earsmentioning

confidence: 77%

Predicting speech discrimination scores from pure-tone thresholds—A machine learning-based approach using data from 12,697 subjects

et al. 2021

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“…resolution performance than those with left UHL. 6 Other studies have also shown differences in temporal resolution between patients with left and right UHL. Particularly, in the evaluation of temporal resolution using the random gap detection test, patients with UHL in the right ear showed better results.…”

Section: Discussionmentioning

confidence: 95%

“…A previous study reported discordance in HA performance between patients with right and left UHL. Mondelli et al studied the efficacy of HA in UHL patients and showed that patients with right UHL tended to have better sound localization, temporal ordering, and resolution performance than those with left UHL 6 . Other studies have also shown differences in temporal resolution between patients with left and right UHL.…”

Section: Discussionmentioning

confidence: 99%

“…To improve decreased hearing ability, the use of a hearing aid (HA) for mild to moderate UHL and cochlear implantation (CI) for severe to profound UHL has been suggested. Satisfaction with UHL management varied widely, and the outcomes were not consistent 2–6 . Moreover, there have been few detailed studies on the use of HAs in UHL because the rate of HA use is only 1.56% in UHL 1 …”

Section: Introductionmentioning

confidence: 99%

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Sound localization in patients with a unilateral hearing aid: Discordance between the right and left ears

Kim

Lee

et al. 2022

Laryngoscope Investig Oto

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Objectives Patients with unilateral hearing loss (UHL) have difficulty in recognizing the direction of a sound. Previous studies have shown that hearing aids (HAs) could improve the directional perception of sound. In this study, we analyzed the results of sound localization tests in patients using a unilateral HA. Methods All patients with UHL who had performed sound localization tests since 2018 were included in this study. Sound localization tests, functional gain tests, and the speech discrimination scores (SDSs) were analyzed. The tests were obtained at 1‐, 3‐, and 6‐month after fitting the HA. Results Of the 32 patients with UHL, 13 were right‐sided and 19 were left‐sided. After 6 months of using a HA, the results of the sound localization test were significantly better in patients with right than left UHL (percent correct [PCT], 61.9 ± 24.0% vs. 37.9 ± 24.6%, p = .011; mean absolute error (MAE), 41.4 ± 23.9° vs. 65.5 ± 28.6°, p = .018; root‐mean‐square error (RMS), 25.8 ± 17.6° vs. 48.8 ± 24.5°, p = .007]. The aided SDSs were not different between the two groups (78.7 ± 16.5% vs. 77.2 ± 18.5%, p = .825). Conclusion The side of the hearing loss could have a substantial effect on sound localization in UHL patients using a HA. Sound localization test results should be interpreted with the consideration of this discordance. Level of Evidence 4

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“…Using a HA could have aided them to perform better after amplification of the higher frequencies, especially on the frequency test. Duration and frequency tests are used to evaluate the temporal resolution of signal perception, which has been shown to improve with HA use [ 19 , 20 ]. The duration pattern test demonstrates good sensitivity (86%) and specificity (92%) in adults.…”

Section: Discussionmentioning

confidence: 99%

Changes of Temporal Processing and Hearing in Noise after Use of a Monoaural Hearing Aid in Patients with Sensorineural Hearing Loss: A Preliminary Study

et al. 2021

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Background and Objectives: The relationship between hearing aid (HA) use and improvement in cognitive function is not fully known. This study aimed to determine whether HAs could recover temporal resolution or hearing in noise functions.Materials and Methods: We designed a prospective study with two groups: HA users and controls. Patients older than 45 years, with a pure tone average threshold of worse than 40 dB and a speech discrimination score better than 60% in both ears were eligible. Central auditory processing tests and hearing in noise tests (HINTs) were evaluated at the beginning of the study and 1, 3, 6, and 12 months after the use of a monaural HA in the HA group compared to the control group. The changes in the evaluation parameters were statistically analyzed using the linear mixed model.Results: A total of 26 participants (13 in the HA and 13 in the control group) were included in this study. The frequency (<i>p</i><0.01) and duration test (<i>p</i>=0.02) scores showed significant improvements in the HA group after 1 year, while the HINT scores showed no significant change.Conclusions: After using an HA for one year, patients performed better on temporal resolution tests. No improvement was documented with regard to hearing in noise.

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Unilateral hearing loss: benefit of amplification in sound localization, temporal ordering and resolution

Cited by 6 publications

References 23 publications

Predicting speech discrimination scores from pure-tone thresholds—A machine learning-based approach using data from 12,697 subjects

Predicting speech discrimination scores from pure-tone thresholds—A machine learning-based approach using data from 12,697 subjects

Sound localization in patients with a unilateral hearing aid: Discordance between the right and left ears

Changes of Temporal Processing and Hearing in Noise after Use of a Monoaural Hearing Aid in Patients with Sensorineural Hearing Loss: A Preliminary Study

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