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ABRpresto:一种自动设定听觉脑干反应值的算法,使用在子平均值之间重新采样的交叉相关性
Luke A Shaheen1, Brad N Buran2, Kirupa Suthakar3
1Regeneron Pharmaceuticals, Tarrytown, NY, USA.
Hearing research
|April 22, 2025
概括
一个新的算法通过交叉关联独立响应平均值来准确估计听觉脑干响应 (ABR) 值. 这种方法为临床前研究中手动评估提供了一个更客观,更节省时间的替代方案.
科学领域:
- 神经科学是一个神经科学.
- 听力学 听力学是指听力学.
- 生物医学工程 生物医学工程
背景情况:
- 听觉脑干反应 (ABR) 对于评估听觉通路健康至关重要.
- 估计ABR值 (最低响应水平) 是具有挑战性的,因为波形变化和低信号噪声比.
- 目前的临床实践依赖于对ABR波形的主观视觉检查.
研究的目的:
- 开发和验证一个客观的,用于ABR值估计的自动化算法.
- 在临床前研究中提高ABR值确定的准确性和效率.
主要方法:
- 开发了一个算法,使用两个独立的响应平均值对每个刺激水平的交叉相关性.
- 响应被随机分割,计算中位波形,并分析正常化交叉相关性.
- 重新采样和配合分布的Sigmoid或功率定律函数确定了值.
主要成果:
- 该算法在小鼠数据上实现了92%的准确度,在人类评级值的±10dB范围内.
- 在同一数据集上,性能超过了之前发表的几种算法.
- 该算法在临床前研究中成功取代了手动ABR值估计.
结论:
- 开发的交叉相关算法为ABR值估计提供了强大而准确的方法.
- 这种自动化方法显著提高了客观性,并在听觉研究中节省了时间.
- 该算法代表了临床前听觉评估的宝贵进步.
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