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使用参数建模快速提取诱发电位的局限性。

Limitations in the rapid extraction of evoked potentials using parametric modeling.

机构信息

Faculty of Life and Social Sciences, Swinburne University of Technology, Hawthorn, Victoria, Australia.

出版信息

IEEE Trans Biomed Eng. 2012 May;59(5):1462-71. doi: 10.1109/TBME.2012.2188527. Epub 2012 Mar 1.

DOI:10.1109/TBME.2012.2188527
PMID:22394572
Abstract

The rapid extraction of variations in evoked potentials (EPs) is of great clinical importance. Parametric modeling using autoregression with an exogenous input (ARX) and robust evoked potential estimator (REPE) are commonly used methods for extracting EPs over the conventional moving time average. However, a systematic study of the efficacy of these methods, using known synthetic EPs, has not been performed. Therefore, the current study evaluates the restrictions of these methods in the presence of known and systematic variations in EP component latency and signal-to-noise ratios (SNR). In the context of rapid extraction, variations of wave V of the auditory brainstem in response to stimulus intensity were considered. While the REPE methods were better able to recover the simulated model of the EP, morphology and the latency of the ARX-estimated EPs was a closer match to the actual EP than than that of the REPE-estimated EPs. We, therefore, concluded that ARX rapid extraction would perform better with regards to the rapid tracking of latency variations. By tracking simulated and empirically induced latency variations, we conclude that rapid EP extraction using ARX modeling is only capable of extracting latency variations of an EP in relatively high SNRs and, therefore, should be used with caution in low-noise environments. In particular, it is not a suitable method for the rapid extraction of early EP components such as the auditory brainstem potential.

摘要

诱发电位(EP)的快速提取具有重要的临床意义。使用自回归与外部输入(ARX)和鲁棒诱发电位估计器(REPE)的参数建模是常用的方法,用于从传统的移动时间平均中提取 EP。然而,尚未使用已知的合成 EP 对这些方法的有效性进行系统研究。因此,本研究评估了这些方法在 EP 分量潜伏期和信噪比(SNR)存在已知和系统变化时的局限性。在快速提取的背景下,考虑了刺激强度对听觉脑干波 V 的反应的变化。虽然 REPE 方法能够更好地恢复 EP 的模拟模型,但 ARX 估计的 EP 的形态和潜伏期与实际 EP 更匹配,而不是与 REPE 估计的 EP 更匹配。因此,我们得出结论,ARX 快速提取在跟踪潜伏期变化方面表现更好。通过跟踪模拟和经验诱导的潜伏期变化,我们得出结论,使用 ARX 建模进行快速 EP 提取仅能够在相对较高的 SNR 下提取 EP 的潜伏期变化,因此在低噪声环境中应谨慎使用。特别是,它不适合快速提取听觉脑干电位等早期 EP 成分。

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