言语识别功能与儿童人工耳蜗植入者的通道数量有关。
Speech recognition as a function of the number of channels for pediatric cochlear implant recipients.
机构信息
Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, Tennessee 37232, USA.
Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, Tennessee 37235, USA.
出版信息
JASA Express Lett. 2022 Sep;2(9):094403. doi: 10.1121/10.0013428.
This study investigated the number of channels required for asymptotic speech recognition for ten pediatric cochlear implant (CI) recipients with precurved electrode arrays. Programs with 4-22 active electrodes were used to assess word and sentence recognition in noise. Children demonstrated significant performance gains up to 12 electrodes for continuous interleaved sampling (CIS) and up to 22 channels with 16 maxima. These data are consistent with the latest adult CI studies demonstrating that modern CI recipients have access to more than 8 independent channels and that both adults and children exhibit performance gains up to 22 channels.
本研究调查了 10 名使用预弯电极阵列的儿科人工耳蜗（CI）接受者实现渐近言语识别所需的通道数量。使用具有 4-22 个激活电极的程序评估噪声中的单词和句子识别。儿童在连续交错采样（CIS）中表现出显著的性能提升，最高可达 12 个电极，在具有 16 个最大值的情况下最高可达 22 个通道。这些数据与最新的成人 CI 研究一致，表明现代 CI 接受者可以访问超过 8 个独立通道，并且成人和儿童的表现都可以提升至 22 个通道。
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