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高刺激率条件下利用非局部平均算法提高听觉诱发电位信噪比 被引量：2

Signal-to-Noise Ratio Enhancement of Auditory-evoked Potentials with High Rate Stimulation Paradigm based on Non-Local Means Algorithm.
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摘要 目的利用非局部平均(NL-means)算法提高高刺激率模式下去卷积前的听觉诱发电位(AEPs)的信噪比。方法首先通过仿真实验来确定在不同噪声水平下的滤波参数,然后采用真实数据进行了验证,并且与均值滤波进行了对比。结果 NL-means方法能够有效的抑制粉红噪声,较好的保留信号的细节。结论 NL-means方法非常适合具有周期特性的信号去噪,能够有效的去除噪声,提高AEPs信噪比。 Objective To enhance the signal to noise ratio （SNR） of the transient auditory evoked potentials （AEPs） with the high rate stimulation paradigm by the non-local means （NL-means） algorithm. Methods Ex- periments were conducted on simulation data to estimate the filtering parameters and AEPs from human sub- jects to demonstrate the validity of the proposed theory. The NL-means algorithm and the mean filtering were also compared. Results The NL-means algorithm could not only eliminate the pink noise effectively, but also preserve the details of the signal. Conclusion The NL-means algorithm is suitable for denoising periodic signal and can enhance the SNR of AEPs effectively.
作者 张爱桃 李连捷 王涛 林霖
机构地区 河北医科大学计算机教研室 南方医科大学生物医学工程学院
出处 《航天医学与医学工程》 CAS CSCD 北大核心 2014年第1期26-31,共6页 Space Medicine & Medical Engineering
基金 国家自然学基金资助项目(61172033 61271154)
关键词 听觉诱发电位 非局部平均算法 均值滤波 auditory evoked potentials non-local means algorithm mean filtering
分类号 TP39 [自动化与计算机技术—计算机应用技术]
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参考文献12

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共引文献3

同被引文献19

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航天医学与医学工程
2014年 第1期

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