Optimizing the combination of acoustic and electric hearing in the implanted ear.
Optimizing the combination of acoustic and electric hearing in the implanted ear.
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DOI：
10.1097/aud.0b013e318269ce87
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发表时间：
2013-03
期刊：
影响因子：
3.7
通讯作者：
Gantz BJ
中科院分区：
文献类型：
--
作者：
Karsten SA;Turner CW;Brown CJ;Jeon EK;Abbas PJ;Gantz BJ
本研究的目的是确定一种最佳方法，对同一只耳朵中的组合声学加电 (A+E) 听力设备进行编程，以最大限度地提高语音识别性能。十名具有至少 1 年使用 Nucleus Hybrid（短电极）A+E 设备经验的参与者在三种不同的装配条件下进行了评估，这些条件在分配给频谱的声学和电学部分的频率范围上有所不同。使用真耳测量来优化每个参与者的声学成分，然后在不同条件下保持声学刺激恒定。电频率范围的下限被系统地改变，以创造相对于声谱上限的三个条件：相遇、重叠和间隙编程。在让参与者有机会在典型的日常听力情况下使用实验程序进行适应后，对安静时的辅音识别和相互竞争的人喋喋不休时的语音识别进行了评估。参与者对每个试穿条件提供了主观评分和评价。安静条件下的辅音识别（相遇、重叠、间隙）之间的表现没有显着差异。对于多语语音识别的重叠拟合条件，测量到性能显着下降。主观评分表明人们对 Meet 验配方案有显着偏好。当声谱和电谱被编程为在单一频率区域相遇（而不是间隙或重叠）时，使用混合同侧 A+E 设备的参与者通常表现更好。尽管 Meet 拟合策略在安静时识别辅音方面没有特别的优势，但对于竞争说话者的喋喋不休和患者偏好的语音识别，优势变得明显。
The aim of this study was to determine an optimal approach to program combined acoustic plus electric (A+E) hearing devices in the same ear to maximize speech-recognition performance. Ten participants with at least 1 year of experience using Nucleus Hybrid (short electrode) A+E devices were evaluated across three different fitting conditions that varied in the frequency ranges assigned to the acoustically and electrically presented portions of the spectrum. Real-ear measurements were used to optimize the acoustic component for each participant, and the acoustic stimulation was then held constant across conditions. The lower boundary of the electric frequency range was systematically varied to create three conditions with respect to the upper boundary of the acoustic spectrum: Meet, Overlap, and Gap programming. Consonant recognition in quiet and speech recognition in competing-talker babble were evaluated after participants were given the opportunity to adapt by using the experimental programs in their typical everyday listening situations. Participants provided subjective ratings and evaluations for each fitting condition. There were no significant differences in performance between conditions (Meet, Overlap, Gap) for consonant recognition in quiet. A significant decrement in performance was measured for the Overlap fitting condition for speech recognition in babble. Subjective ratings indicated a significant preference for the Meet fitting regimen. Participants using the Hybrid ipsilateral A+E device generally performed better when the acoustic and electric spectra were programmed to meet at a single frequency region, as opposed to a gap or overlap. Although there is no particular advantage for the Meet fitting strategy for recognition of consonants in quiet, the advantage becomes evident for speech recognition in competing-talker babble and in patient preferences.