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改善人工耳蜗植入儿童在噪声环境中的言语感知能力。

Improving speech perception in noise for children with cochlear implants.

作者信息

Gifford René H, Olund Amy P, DeJong Melissa

出版信息

J Am Acad Audiol. 2011 Oct;22(9):623-632. doi: 10.3766/jaaa.22.9.7.

DOI:10.3766/jaaa.22.9.7
PMID:22192607
Abstract

BACKGROUND

Current cochlear implant recipients are achieving increasingly higher levels of speech recognition; however, the presence of background noise continues to significantly degrade speech understanding for even the best performers. Newer generation Nucleus cochlear implant sound processors can be programmed with SmartSound strategies that have been shown to improve speech understanding in noise for adult cochlear implant recipients. The applicability of these strategies for use in children, however, is not fully understood nor widely accepted.

PURPOSE

To assess speech perception for pediatric cochlear implant recipients in the presence of a realistic restaurant simulation generated by an eight-loudspeaker (R-SPACE™) array in order to determine whether Nucleus sound processor SmartSound strategies yield improved sentence recognition in noise for children who learn language through the implant.

RESEARCH DESIGN

Single subject, repeated measures design.

STUDY SAMPLE

Twenty-two experimental subjects with cochlear implants (mean age 11.1 yr) and 25 control subjects with normal hearing (mean age 9.6 yr) participated in this prospective study.

INTERVENTION

Speech reception thresholds (SRT) in semidiffuse restaurant noise originating from an eight-loudspeaker array were assessed with the experimental subjects' everyday program incorporating Adaptive Dynamic Range Optimization (ADRO) as well as with the addition of Autosensitivity control (ASC).

DATA COLLECTION AND ANALYSIS

Adaptive SRTs with the Hearing In Noise Test (HINT) sentences were obtained for all 22 experimental subjects, and performance-in percent correct-was assessed in a fixed +6 dB SNR (signal-to-noise ratio) for a six-subject subset. Statistical analysis using a repeated-measures analysis of variance (ANOVA) evaluated the effects of the SmartSound setting on the SRT in noise.

RESULTS

The primary findings mirrored those reported previously with adult cochlear implant recipients in that the addition of ASC to ADRO significantly improved speech recognition in noise for pediatric cochlear implant recipients. The mean degree of improvement in the SRT with the addition of ASC to ADRO was 3.5 dB for a mean SRT of 10.9 dB SNR. Thus, despite the fact that these children have acquired auditory/oral speech and language through the use of their cochlear implant(s) equipped with ADRO, the addition of ASC significantly improved their ability to recognize speech in high levels of diffuse background noise. The mean SRT for the control subjects with normal hearing was 0.0 dB SNR. Given that the mean SRT for the experimental group was 10.9 dB SNR, despite the improvements in performance observed with the addition of ASC, cochlear implants still do not completely overcome the speech perception deficit encountered in noisy environments accompanying the diagnosis of severe-to-profound hearing loss.

CONCLUSION

SmartSound strategies currently available in latest generation Nucleus cochlear implant sound processors are able to significantly improve speech understanding in a realistic, semidiffuse noise for pediatric cochlear implant recipients. Despite the reluctance of pediatric audiologists to utilize SmartSound settings for regular use, the results of the current study support the addition of ASC to ADRO for everyday listening environments to improve speech perception in a child's typical everyday program.

摘要

背景

目前的人工耳蜗植入者实现了越来越高的语音识别水平;然而,即使对于表现最佳者,背景噪声的存在仍会显著降低语音理解能力。新一代Nucleus人工耳蜗声音处理器可以通过SmartSound策略进行编程,这些策略已被证明可改善成人人工耳蜗植入者在噪声环境中的语音理解。然而,这些策略在儿童中的适用性尚未得到充分理解,也未被广泛接受。

目的

评估在由八扬声器(R-SPACE™)阵列生成的逼真餐厅模拟环境中,小儿人工耳蜗植入者的语音感知能力,以确定Nucleus声音处理器的SmartSound策略是否能提高通过植入设备学习语言的儿童在噪声环境中的句子识别能力。

研究设计

单受试者重复测量设计。

研究样本

22名人工耳蜗植入实验受试者(平均年龄11.1岁)和25名听力正常的对照受试者(平均年龄9.6岁)参与了这项前瞻性研究。

干预措施

使用实验受试者日常程序,结合自适应动态范围优化(ADRO)以及添加自动灵敏度控制(ASC),评估源自八扬声器阵列的半扩散餐厅噪声中的语音接收阈值(SRT)。

数据收集与分析

对所有22名实验受试者使用噪声中听力测试(HINT)句子获得自适应SRT,并对一个六受试者子集在固定的+6 dB信噪比(信号噪声比)下评估正确率。使用重复测量方差分析(ANOVA)进行统计分析,评估SmartSound设置对噪声中SRT的影响。

结果

主要研究结果与先前报道的成人人工耳蜗植入者的结果相似,即在ADRO中添加ASC可显著提高小儿人工耳蜗植入者在噪声中的语音识别能力。在ADRO中添加ASC后,SRT的平均改善程度为3.5 dB,平均SRT为10.9 dB SNR。因此,尽管这些儿童通过使用配备ADRO的人工耳蜗获得了听觉/口语语音和语言,但添加ASC显著提高了他们在高水平扩散背景噪声中识别语音的能力。听力正常的对照受试者的平均SRT为0.0 dB SNR。鉴于实验组的平均SRT为10.9 dB SNR,尽管添加ASC后观察到性能有所改善,但人工耳蜗仍不能完全克服伴随重度至极重度听力损失诊断在嘈杂环境中遇到的语音感知缺陷。

结论

最新一代Nucleus人工耳蜗声音处理器中目前可用的SmartSound策略能够显著提高小儿人工耳蜗植入者在逼真的半扩散噪声中的语音理解能力。尽管小儿听力学家不愿常规使用SmartSound设置,但本研究结果支持在日常聆听环境中在ADRO中添加ASC,以改善儿童典型日常程序中的语音感知。

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