Optimum wavelet filter estimating peak latencies of auditory brainstem response waveform
Optimum wavelet filter estimating peak latencies of auditory brainstem response waveform
复制标题
估计听觉脑干反应波形峰值延迟的最佳小波滤波器
DOI：
10.1109/icwapr.2016.7731642
复制
发表时间：
2016
期刊：
影响因子：
--
通讯作者：
and R. Ashino
中科院分区：
文献类型：
--
作者：
N. Ikawa;A. Morimoto;and R. Ashino
听性脑干反应（ABR）的峰潜伏期有助于支持人类听觉脑功能的诊断。例如，在人类听力测试中估计听力图是有用的。在先前的研究中，我们提出了一种利用平稳小波变换（SWT）分析ABR峰值延迟的方法。此外，本文还观察了在人听阈附近的ABR峰，即在听力图上所描绘的峰。同时讨论了用SWT分析听力图中的听阈波形的最佳小波函数。
The peak latencies of auditory brainstem response (ABR) are useful to support of human auditory brain functional diagnosis. For example is useful to estimate audiogram in the human hearing test. In the previous study we proposed a method of analysis of the peak latencies of the ABR using stationary wavelet transform (SWT). Furthermore, in this paper we observe the ABR peak latencies near around human auditory threshold in which depicts in the audiogram by using SWT. At the same time we discuss about the optimum wavelet function to analyze the waveform of the human audiometry threshold depicted in the audiogram by using SWT.