走向基于ASSR的听力评估,使用自然声音
Anna Sergeeva1, Christian Bech Christensen1, Preben Kidmose1
1Department of Electrical and Computer Engineering, Aarhus University, Finlandsgade 22, 8200 Aarhus N, Denmark.
Journal of neural engineering
|April 5, 2024
概括
这项研究表明,可以使用自然语音来使用电脑电图 (EEG) 估计听觉平稳状态响应 (ASSR). 这种使用耳部EEG的方法可以带来更舒适的听力评估和日常生活中的自动助听器.
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.
- 生物医学工程 生物医学工程
背景情况:
- 听觉稳定状态响应 (ASSR) 对听力值的估计对于听力学至关重要.
- 传统的ASSR刺激 (纯音,声) 是单调的,重复使用是不方便的.
- 耳朵脑电图 (耳朵EEG) 提供了在现场听力评估和助听器安装的潜力.
研究的目的:
- 为了研究自然语音的使用,ASSR估计.
- 评估使用耳部EEG与语音刺激用于听力评估的可行性.
- 探索舒适,自动化助听器配件的潜力.
主要方法:
- 使用头皮和耳朵电极记录了22名听力正常的受试者的EEG.
- 刺激受试者进行180分钟的振幅调节语音刺激 (40Hz AM,1kHz中心).
- 估计ASSR从头皮和耳朵EEG通过10个感觉水平 (0-45dBSL).
主要成果:
- 从头皮和耳朵电极记录了显著的ASSR.
- 随着刺激呈现水平的增加,ASSR振幅增加.
- 该方法使用自然语音显示了可靠的ASSR估计.
结论:
- 自然的语音声音可以有效地用于ASSR估计.
- 这种方法为传统的ASSR方法提供了更舒适,更少的疲劳替代方案.
- 与耳部EEG相结合,它可以使方便的现实世界听力值估计和助听器调整成为可能.
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