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用于快速自动测试空间掩蔽释放的常模数据。

Normative Data for a Rapid, Automated Test of Spatial Release From Masking.

作者信息

Jakien Kasey M, Gallun Frederick J

机构信息

National Center for Rehabilitative Auditory Research, VA Portland Health Care System, Department of Veterans Affairs, OR.

Department of Otolaryngology-Head & Neck Surgery, Oregon Health and Science University, Portland.

出版信息

Am J Audiol. 2018 Dec 6;27(4):529-538. doi: 10.1044/2018_AJA-17-0069.

Abstract

PURPOSE

The purpose of this study is to report normative data and predict thresholds for a rapid test of spatial release from masking for speech perception. The test is easily administered and has good repeatability, with the potential to be used in clinics and laboratories. Normative functions were generated for adults varying in age and amounts of hearing loss.

METHOD

The test of spatial release presents a virtual auditory scene over headphones with 2 conditions: colocated (with target and maskers at 0°) and spatially separated (with target at 0° and maskers at ± 45°). Listener thresholds are determined as target-to-masker ratios, and spatial release from masking (SRM) is determined as the difference between the colocated condition and spatially separated condition. Multiple linear regression was used to fit the data from 82 adults 18-80 years of age with normal to moderate hearing loss (0-40 dB HL pure-tone average [PTA]). The regression equations were then used to generate normative functions that relate age (in years) and hearing thresholds (as PTA) to target-to-masker ratios and SRM.

RESULTS

Normative functions were able to predict thresholds with an error of less than 3.5 dB in all conditions. In the colocated condition, the function included only age as a predictive parameter, whereas in the spatially separated condition, both age and PTA were included as parameters. For SRM, PTA was the only significant predictor. Different functions were generated for the 1st run, the 2nd run, and the average of the 2 runs. All 3 functions were largely similar in form, with the smallest error being associated with the function on the basis of the average of 2 runs.

CONCLUSION

With the normative functions generated from this data set, it would be possible for a researcher or clinician to interpret data from a small number of participants or even a single patient without having to first collect data from a control group, substantially reducing the time and resources needed.

SUPPLEMENTAL MATERIAL

https://doi.org/10.23641/asha.7080878.

摘要

目的

本研究旨在报告言语感知掩蔽空间释放快速测试的标准数据并预测阈值。该测试易于实施且具有良好的重复性,有潜力应用于临床和实验室。针对年龄和听力损失程度各异的成年人生成了标准函数。

方法

空间释放测试通过耳机呈现虚拟听觉场景,有两种条件:同位置(目标和掩蔽声均在0°)和空间分离(目标在0°,掩蔽声在±45°)。将听者阈值确定为目标与掩蔽声的比率,掩蔽空间释放(SRM)确定为同位置条件与空间分离条件之间的差值。使用多元线性回归拟合来自82名年龄在18至80岁、听力损失正常至中度(0 - 40 dB HL纯音平均听阈[PTA])的成年人的数据。然后使用回归方程生成将年龄(以年为单位)和听力阈值(作为PTA)与目标与掩蔽声的比率及SRM相关联的标准函数。

结果

标准函数在所有条件下预测阈值的误差均小于3.5 dB。在同位置条件下,函数仅将年龄作为预测参数,而在空间分离条件下,年龄和PTA均作为参数。对于SRM,PTA是唯一显著的预测因子。针对第一次测试、第二次测试以及两次测试的平均值生成了不同的函数。所有三个函数在形式上基本相似,最小误差与基于两次测试平均值的函数相关。

结论

利用从该数据集生成的标准函数,研究人员或临床医生无需首先从对照组收集数据,就有可能解释来自少数参与者甚至单个患者的数据,从而大幅减少所需的时间和资源。

补充材料

https://doi.org/10.23641/asha.7080878

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d0c/6436452/131745e24001/AJA-27-529-g001.jpg

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