Signal-to-noise ratio and frequency analysis of continuous loop averaging deconvolution (CLAD) of overlapping evoked potentials
Signal-to-noise ratio and frequency analysis of continuous loop averaging deconvolution (CLAD) of overlapping evoked potentials
复制标题
DOI：
10.1121/1.2133682
复制
发表时间：
2006-01-01
影响因子：
2.4
通讯作者：
Bohórquez, J
中科院分区：
文献类型：
--
作者：
Özdamar, Ö;Bohórquez, J
在这项研究中，开发了重叠诱发电位的连续循环平均反卷积（CLAD）的频域公式，并将其应用于从高刺激率下获得的记录中提取瞬态响应。该公式允许通过使用快速傅里叶变换算法更快地执行 CLAD。反卷积滤波器的频率特性完全取决于激励序列，并确定非相干噪声在不同频率下是否被放大或衰减。开发了计算反卷积过程实现的信噪比 (SNR) 的公式。新开发的理论和方法应用于使用各种序列提取听觉脑干和中潜伏反应。效果；通过使用单次扫描记录来检查所使用的序列和持续采集中 SNR 的平均扫描次数。结果验证了反卷积理论和方法并显示了其局限性。根据序列的频率特性，反卷积过程可以放大或减弱脑电图噪声。正确选择激励序列可以提高通过传统平均获得的 SNR 增强效果。 (c) 2006 年美国声学学会。
In this study, a frequency domain formulation of continuous loop averaging deconvolution (CLAD) of overlapping evoked potentials is developed and applied for the extraction of transient responses from recordings obtained at high stimulation rates. This formulation allows for a faster execution of CLAD by using fast Fourier transform algorithms. The frequency characteristics of the deconvolution filter depends exclusively on the stimulus sequence and determines whether the noncoherent noise is amplified or attenuated in different frequencies. A formula for calculating the signal-to-noise ratio (SNR) achieved by the deconvolution process is developed. The newly developed theory and the methodology is applied to the extraction of the auditory brainstem and middle latency responses using various sequences. The effect,; of the sequence used and the number of sweeps averaged in ongoing acquisition on SNR are examined by using single sweep recordings. The results verify the deconvolution theory and the methodology and show its limitations. Depending on the frequency characteristics of the sequence, the deconvolution process can amplify or attenuate the EEG noise. Proper selection of the stimulus sequence can increase the SNR enhancement obtained with conventional averaging. (c) 2006 Acoustical Society of America.