修改了AutoNRT门和主观编程水平之间的关系
Andreas Björsne1,2, Lennart Magnusson1
1Unit of Audiology, Department of Health and Rehabilitation, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden.
Cochlear implants international
|January 30, 2025
概括
这项研究发现,AutoNRT值可以合理地预测T和C水平用于耳植入物编程. 自动NRT值为耳植入物编程的全球调整提供了一种可行的方法.
科学领域:
- 听力学 听力学是指听力学.
- 生物医学工程 生物医学工程
- 神经外科 神经外科
背景情况:
- 耳植入器 (CI) 编程依赖于主观值水平.
- 自动神经响应遥测 (AutoNRT) 提供了一个客观的测量方法.
- 在CI使用者的个体变化在编程中带来了挑战.
研究的目的:
- 调查AutoNRT值与主观编程水平之间的关系.
- 为了控制CI使用者的个体学科变化.
- 提出一种用于计算编程AutoNRT值配置的替代方法.
主要方法:
- 预期的观察性研究设计.
- 在激活后6个月和12个月记录了AutoNRT值,T级和C级.
- 在41名成年参与者中使用CI24RE植入物.
主要成果:
- 线性混合效应模型显示了显著的个体间变化 (SD 15.42-18.89 CL).
- 自动NRT在预测T级和C级个人资料方面表现出可接受的准确性.
- 从AutoNRT计算的个人资料的线性回归模型显示了最小的偏差,特别是在C级.
结论:
- 在CI编程中,AutoNRT值为T级和C级配置文件提供了合理的可预测性.
- 自动NRT值可用于在没有直接T或C级预测的情况下对耳植入物编程进行全局调整.
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