Automatic denoising of single-trial evoked potentials
Automatic denoising of single-trial evoked potentials
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DOI：
10.1016/j.neuroimage.2012.10.062
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发表时间：
2013-02-01
期刊：
影响因子：
5.7
通讯作者：
Quiroga, Rodrigo Quian
中科院分区：
文献类型：
--
作者：
Ahmadi, Maryam;Quiroga, Rodrigo Quian
提出了一种基于小波变换的单次诱发电位自动去噪方法。该方法基于小波系数的尺度间和尺度内变异性及其与基线值的偏差。该方法的性能进行了测试与模拟事件相关电位（ERP）和与真实的视觉和听觉ERP。对于模拟数据，所提出的方法给出了一个显着的改善，在观察单次试验的ERP，以及在估计其振幅和laveli，在与标准的去噪技术（Donoho的阈值）相比，并在与嘈杂的单次试验。对于真实的数据，该方法在很大程度上过滤了自发脑电活动，从而有助于识别单次试验的视觉和听觉ERP。所提出的方法提供了一个简单，自动和快速的工具，允许研究单次试验的反应及其与行为的相关性。(C)2012 Elsevier Inc. All rights reserved.
We present an automatic denoising method based on the wavelet transform to obtain single trial evoked potentials. The method is based on the inter- and intra-scale variability of the wavelet coefficients and their deviations from baseline values. The performance of the method is tested with simulated event related potentials (ERPs) and with real visual and auditory ERPs. For the simulated data the presented method gives a significant improvement in the observation of single trial ERPs as well as in the estimation of their amplitudes and latencies, in comparison with a standard denoising technique (Donoho's thresholding) and in comparison with the noisy single trials. For the real data, the proposed method largely filters the spontaneous EEG activity, thus helping the identification of single trial visual and auditory ERPs. The proposed method provides a simple, automatic and fast tool that allows the study of single trial responses and their correlations with behavior. (C) 2012 Elsevier Inc. All rights reserved.