最大長度序列誘發(fā)聽性腦干反應(yīng)的線性與非線性成分引出率和穩(wěn)定性分析
發(fā)布時(shí)間:2018-06-21 09:28
本文選題:最大長度序列誘發(fā)聽性腦干反應(yīng) + 非線性成分; 參考:《中國生物醫(yī)學(xué)工程學(xué)報(bào)》2016年02期
【摘要】:在記錄常規(guī)的聽性腦干反應(yīng)(c ABR)時(shí),聽覺系統(tǒng)被視為一個(gè)線性系統(tǒng),無法獲取反映聽覺系統(tǒng)非線性特性的成分。而采用最大長度序列(MLS)刺激,對(duì)記錄的反應(yīng)建立Volterra級(jí)數(shù)展開模型,能夠同時(shí)獲取反映聽覺系統(tǒng)線性與非線性特性的不同成分,所獲取的ABR被稱為MLS-ABR。由于這種方法在實(shí)驗(yàn)和計(jì)算方面的困難,現(xiàn)階段對(duì)MLS-ABR的特性了解尚少,所以通過實(shí)驗(yàn)研究對(duì)其引出率及穩(wěn)定性進(jìn)行分析。利用MLS方法提取非線性成分,選擇一個(gè)9階MLS,提取11例正常青年人的MLS-ABR及c ABR,其中MLS-ABR的一階和一個(gè)二階核切片(VS1和VS21)的波形清晰完整,分別表達(dá)ABR的線性和非線性成分。以c ABR、VS1、VS21中各特征波出現(xiàn)率、潛伏期及峰峰值變異系數(shù)為考察指標(biāo),對(duì)照分析c ABR與MLS-ABR的線性、非線性成分引出率和穩(wěn)定性。結(jié)果發(fā)現(xiàn),MLSABR中線性成分各特征波引出率都較高(90%),且其潛伏期(1、3、5潛伏期波變異系數(shù)分別為5.17、3.70、2.00)比c ABR(Ⅰ、Ⅲ、Ⅴ波潛伏期變異系數(shù)分別為6.54、3.70、2.87)更加穩(wěn)定;非線性成分也可穩(wěn)定引出1、3、5波(80%),并且非線性成分的在5波的表達(dá)更加強(qiáng)烈。進(jìn)一步證實(shí)MLS在獲取ABR非線性成分的可靠性,加深對(duì)MLR-ABR的認(rèn)識(shí),為后續(xù)相關(guān)研究提供重要依據(jù)。
[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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