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 Suthakar3,4
1Regeneron Pharmaceuticals, Tarrytown NY.
bioRxiv : the preprint server for biology
|November 22, 2024
概括
一个新的算法通过交叉关联响应平均值来准确估计听觉脑干响应 (ABR) 值. 这种方法提高了临床前听力研究的客观性和效率.
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) 对于在研究和诊所中评估耳健康至关重要.
- 估计ABR值,即引起响应的最小声级,由于波形变化和低信号噪声比,具有挑战性.
- 目前的标准实践依赖于对ABR波形的主观视觉评估.
研究的目的:
- 开发和验证一个客观的算法,用于精确的ABR值估计.
- 改进在临床前研究中确定ABR值的现有方法.
主要方法:
- 开发了一种新的算法,使用两个独立的平均响应对每个刺激水平的交叉相关性.
- 响应被分为两组,计算中位波形,并计算正常化交叉相关性.
- 500次重复交叉相关,分析分布,并将数据与西格形或功率定律函数相配以估计值.
主要成果:
- 该算法在广泛的小鼠数据上实现了92%的精度,在人为额定值的±10dB以内.
- 与同一数据集上先前发布的几种算法相比,表现出优异的性能.
- 在临床前研究中成功取代了手动ABR值估计,提高了速度和客观性.
结论:
- 开发的交叉相关算法为ABR值估计提供了强大,准确和客观的方法.
- 这种算法方法显著提高了听觉研究的效率和可靠性.
- 这些发现支持采用这种算法进行标准化的临床前听觉评估.
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