Accuracy of averaged auditory brainstem response amplitude and latency estimates

Accuracy of averaged auditory brainstem response amplitude and latency estimates
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DOI:
10.1080/14992027.2017.1381770
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发表时间:
2018-01-01
影响因子:
2.7
通讯作者:
Dau, Torsten
Dau, Torsten
中科院分区:
医学3区
文献类型:
--
作者:
Madsen, Sara M. K.;Harte, James M.;Dau, Torsten

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目的:目的是 1) 确定用于估计听觉脑干反应 (ABR) 中残余噪声水平和信噪比 (SNR) 的四种算法中哪一种在平均后波 V 峰值延迟和幅度误差方面表现更好,2) 确定 SNR 或本底噪声是否是更好的停止标准,其中结果测量是峰值延迟或幅度。设计:使用 ABR 模板结合无声音刺激下获得的脑电图 (EEG) 记录,通过数值模拟来评估算法的性能。当引入反映对象间变化的wave-V波形形状的变化时,评估固定SNR与固定本底噪声停止标准的适用性。研究样本:记录了 17 名成年受试者在不同条件(例如睡眠或运动)下超过 100 小时的原始脑电图噪声。结果:四种算法的 ABR 特征准确度相似。然而,事实证明,固定的本底噪声会导致更高的 ABR 波-V 幅度精度;相反,固定的 SNR 会产生更高的 Wave-V 延迟精度。结论:类似的性能表明使用计算复杂度较低的算法。如果 ABR 峰值延迟或幅度是感兴趣的结果测量,则建议使用不同的停止标准。
Objective: The aims were to 1) establish which of the four algorithms for estimating residual noise level and signal-to-noise ratio (SNR) in auditory brainstem responses (ABRs) perform better in terms of post-average wave-V peak latency and amplitude errors and 2) determine whether SNR or noise floor is a better stop criterion where the outcome measure is peak latency or amplitude. Design: The performance of the algorithms was evaluated by numerical simulations using an ABR template combined with electroencephalographic (EEG) recordings obtained without sound stimulus. The suitability of a fixed SNR versus a fixed noise floor stop criterion was assessed when variations in the wave-V waveform shape reflecting inter-subject variation was introduced. Study sample: Over 100 hours of raw EEG noise was recorded from 17 adult subjects, under different conditions (e.g. sleep or movement). Results: ABR feature accuracy was similar for the four algorithms. However, it was shown that a fixed noise floor leads to higher ABR wave-V amplitude accuracy; conversely, a fixed SNR yields higher wave-V latency accuracy. Conclusion: Similar performance suggests the use of the less computationally complex algorithms. Different stop criteria are recommended if the ABR peak latency or the amplitude is the outcome measure of interest.