最大长度序列诱发听性脑干反应的线性与非线性成分引出率和稳定性分析

发布时间：2018-06-21 09:28

  本文选题：最大长度序列诱发听性脑干反应 + 非线性成分　； 参考：《中国生物医学工程学报》2016年02期

【摘要】：在记录常规的听性脑干反应(c ABR)时,听觉系统被视为一个线性系统,无法获取反映听觉系统非线性特性的成分。而采用最大长度序列(MLS)刺激,对记录的反应建立Volterra级数展开模型,能够同时获取反映听觉系统线性与非线性特性的不同成分,所获取的ABR被称为MLS-ABR。由于这种方法在实验和计算方面的困难,现阶段对MLS-ABR的特性了解尚少,所以通过实验研究对其引出率及稳定性进行分析。利用MLS方法提取非线性成分,选择一个9阶MLS,提取11例正常青年人的MLS-ABR及c ABR,其中MLS-ABR的一阶和一个二阶核切片(VS1和VS21)的波形清晰完整,分别表达ABR的线性和非线性成分。以c ABR、VS1、VS21中各特征波出现率、潜伏期及峰峰值变异系数为考察指标,对照分析c ABR与MLS-ABR的线性、非线性成分引出率和稳定性。结果发现,MLSABR中线性成分各特征波引出率都较高(90%),且其潜伏期(1、3、5潜伏期波变异系数分别为5.17、3.70、2.00)比c ABR(Ⅰ、Ⅲ、Ⅴ波潜伏期变异系数分别为6.54、3.70、2.87)更加稳定;非线性成分也可稳定引出1、3、5波(80%),并且非线性成分的在5波的表达更加强烈。进一步证实MLS在获取ABR非线性成分的可靠性,加深对MLR-ABR的认识,为后续相关研究提供重要依据。
[Abstract]:In recording the conventional auditory brainstem response (ABR), the auditory system is regarded as a linear system, and the components reflecting the nonlinear characteristics of the auditory system cannot be obtained. The Volterra series expansion model of the recorded response is established by using the maximum length sequence (MLS) stimulation. Different components reflecting the linear and nonlinear characteristics of the auditory system can be obtained at the same time. The ABR obtained is called MLS-ABR. Because of the difficulty of this method in experiment and calculation, the characteristics of MLS-ABR are not well understood at present, so the extraction rate and stability of MLS-ABR are analyzed through experimental research. The nonlinear components were extracted by MLS method and a 9th-order MLS was selected to extract MLS-ABR and c-ABR from 11 normal young people. The waveform of MLS-ABR in first order and second order nuclear section VS1 and VS21) was clear and complete, and the linear and nonlinear components of ABR were expressed respectively. The linear, nonlinear component extraction rate and stability of c ABR and MLS-ABR were compared and analyzed by taking the occurrence rate, latent period and peak coefficient of variation of each characteristic wave in c ABR VS1 / VS21 as the index. The results showed that the extraction rate of each characteristic wave of the linear component in MLSABR was higher than that in MLSABR, and the coefficient of variation of latencies was 5.17 ~ 3.70 ~ 2.00, respectively, which was more stable than that of c ABR (鈪，

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