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相关概念视频

Hearing01:31

Hearing

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When we hear a sound, our nervous system is detecting sound waves—pressure waves of mechanical energy traveling through a medium. The frequency of the wave is perceived as pitch, while the amplitude is perceived as loudness.
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Auditory Perception01:17

Auditory Perception

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The auditory system is essential for sound perception, utilizing various critical structures. When sound waves enter the outer ear, they travel through the ear canal and cause the eardrum to vibrate. These vibrations are then transmitted to the middle ear, where three tiny bones – the malleus, incus, and stapes – amplify the sound. This amplification is crucial, as it ensures that the sound vibrations are strong enough to be conveyed to the inner ear. These vibrations then reach the...
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相关实验视频

Updated: Jul 12, 2025

Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages
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Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages

Published on: March 24, 2023

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听力培训的个人差异 助听器使用者的听力培训好处

Ayelet Barda1, Yair Shapira1, Leah Fostick2

  • 1Department of Health Management, Ariel University, Ariel 40700, Israel.

Clinics and practice
|October 27, 2023
PubMed
概括

基线语音感知预测听力训练 (AT) 在老年人听力损失的成功. 个性化方法是有效的AT和对新任务的概括的关键.

科学领域:

  • 听力学 听力学是指听力学.
  • 神经科学是一个神经科学.
  • 老年学是一门学科.

背景情况:

  • 听力损失影响数百万老年人,影响沟通和生活质量.
  • 听力训练 (AT) 是一种潜在的干预措施,用于改善听力损失患者的语音感知.
  • 基线能力的个体差异可能会影响AT的结果.

研究的目的:

  • 调查基线语音感知是否预测听力训练 (AT) 的有效性.
  • 评估AT收益对非训练有素语音感知任务的概括性.
  • 为了确定老年人计算机化AT的最佳持续时间.

主要方法:

  • 12名双边听力损失的成年人 (60-75岁) 接受了为期2个月的家庭计算机化AT程序.
  • 培训包括识别元音和辅音-元音-辅音 (CVC) 词.
  • 语音感知在培训前,培训期间和培训后被评估,包括随访期.

主要成果:

  • 一个月的AT提高了训练任务的性能,并将CVC概括为语音形状噪音 (SSN) 中的单词识别和句子.
  • 没有观察到额外一个月的培训或自发学习带来的显著益处.
  • 较高的基线语音感知得分与训练和通用任务的更大改进有关.
关键词:
审计培训 审计培训 审计培训概括的概括是一般化的.个人差异是个人的差异.语音 感知 语音 感知

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Published on: March 24, 2023

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Assessment of Audio-Tactile Sensory Substitution Training in Participants with Profound Deafness Using the Event-Related Potential Technique
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结论:

  • 基线语音感知是AT有效性和概括性的重要预测指标.
  • 建议采用个性化的AT方法,以优化老年人听力损失的结果.
  • 当前的AT协议可能会根据个人基线能力进行调整.