本文選題：聽覺誘發(fā)電位 + 線性卷積模型　； 參考：《南方醫(yī)科大學(xué)》2017年博士論文

【摘要】：聽覺系統(tǒng)在短促刺激聲作用下,經(jīng)頭皮電極記錄可得到有限持續(xù)時間的電信號,即為一種暫態(tài)型的聽覺誘發(fā)電位(Auditory evoked potential,AEP)。AEP十分微弱需要多次重復(fù)刺激,平均去噪后方能識別。但如果刺激重復(fù)率過快,AEP未及平息又被激發(fā)則導(dǎo)致AEP成分的相互重疊失去暫態(tài)性。工程上將這種重疊反應(yīng)描述為暫態(tài)反應(yīng)和刺激序列的線性卷積模型,如果考慮到相鄰刺激的相互作用的影響,還需要采用誘發(fā)反應(yīng)的非線性成分及非線性卷積模型。AEP按潛伏期可分為聽覺腦干反應(yīng)(Auditory brainstem-response,ABR)和中潛伏期反應(yīng)(Middle-latency response,MLR)等。目前已提出若干去卷積算法恢復(fù)暫態(tài)的AEP成分,這些方法各具特色也各有不足。本文系統(tǒng)介紹了本領(lǐng)域的線性/非線性去卷積技術(shù)和實驗范式,對其中部分關(guān)鍵問題提出解決辦法,具體工作包括以下三個方面:1.真實噪聲條件下CLAD刺激序列的評估和優(yōu)化CLAD(Continuous loop averaging deconvolution)是近期關(guān)注較多的線性去卷積方法,采用刺激序列隨機抖動方式保證解的存在。然而,該法應(yīng)用時存在兩個關(guān)鍵問題:刺激序列的噪聲抑制性能評估和刺激序列優(yōu)化產(chǎn)生。本項研究指出其序列的噪聲抑制能力需要結(jié)合噪聲本身的統(tǒng)計特性。并特別證實在ABR和MLR的記錄條件下,腦電噪聲符合1/f模型。為此,我們提出一個新的噪聲增益因子度量序列性能。通過充分的實測數(shù)據(jù)檢驗,證實新的度量和實際CLAD刺激序列的噪聲抑制能力高度相關(guān)。以此為目標(biāo)函數(shù),我們以經(jīng)典的遺傳算法為例,用于給定約束條件下序列的優(yōu)化生成。本項研究較好地解決了上述兩個關(guān)鍵問題,有利于促進CLAD方法推廣應(yīng)用。2.40Hz中潛伏期反應(yīng)的特性對比研究表明刺激率對中潛伏期反應(yīng)存在顯著影響,刺激率為40 Hz時明顯強化的穩(wěn)態(tài)反應(yīng)被認(rèn)為和MLR的同相增強有關(guān)。但是也有確鑿的實驗說明40 Hz誘發(fā)反應(yīng)的產(chǎn)生機制另有解釋�，F(xiàn)有線性去卷積技術(shù)可恢復(fù)40 Hz的暫態(tài)AEP成分。因此,本項工作試圖回答兩個基本問題:與常規(guī)5 Hz記錄條件下的MLR相比,40 Hz暫態(tài)反應(yīng)的基本特性如何;不同抖動方式的40 Hz刺激序列,對求解的暫態(tài)AEP的影響是否可鑒。我們選擇比較CLAD范例和另一種不同抖動方式的 MSAD(multi-rate steady-state averaging deconvolution)范例下去卷積恢復(fù)的40 Hz暫態(tài)AEP,并與常規(guī)5 Hz記錄條件下的AEP進行對比實驗。結(jié)果表明MLR在快速刺激下形態(tài)更清晰穩(wěn)定,并且刺激序列的不同抖動方式對MLR的一些成分有顯著影響,說明MLR受刺激率顯著影響,也受刺激序列設(shè)計的影響。3.非線性AEP重建中最大長序列的噪聲衰減分析最大長序列(Maximum length sequence,MLS)是一種經(jīng)典的去卷積刺激序列,可用互相關(guān)技術(shù)恢復(fù)線性和非線性AEP成分。MLS是基于不同階數(shù)本原多項式產(chǎn)生的偽隨機序列,不同序列也會導(dǎo)致計算時噪聲的改變。本項研究旨在評估MLS的噪聲衰減特性與階數(shù)的關(guān)系。我們給出了疊加平均過程和互相關(guān)過程噪聲衰減系數(shù)的理論公式,用仿真和真實的ABR非線性成分提取實驗加以驗證。理論推導(dǎo)和實驗結(jié)果都表明噪聲衰減與階數(shù)無關(guān),而是由有效的EEG數(shù)據(jù)總長度和MLS的刺激率決定的。本研究為MLS的選擇提供了依據(jù),并且可以用來估計MLS實驗所需要的時間和信噪比。
[Abstract]:Under the action of short stimulus, the auditory system can obtain a limited duration of electrical signal through the recording of the scalp electrode, that is, a transient auditory evoked potential (Auditory evoked potential, AEP).AEP is very weak in need of repeated stimulation and can be identified after the average denoising. But if the stimulation repetition rate is too fast, AEP is not appease and stimulated. The generation leads to the loss of transient characteristics of the overlapping of AEP components. This overlap reaction is described as a linear convolution model of the transient response and the stimulus sequence. If the interaction of adjacent stimuli is considered, the nonlinear component and the nonlinear convolution model,.AEP, can be divided into auditory brainstem according to the latent period. The reaction (Auditory brainstem-response, ABR) and the medium latency reaction (Middle-latency response, MLR) etc. have been proposed for the restoration of transient AEP components. These methods have various characteristics and shortcomings. This paper systematically introduces the linear / non linear deconvolution and experimental paradigm in this field, and some of them are key questions. The solutions include the following three aspects: 1. the evaluation and optimization of the CLAD stimulus sequence under the real noise condition and the optimization CLAD (Continuous loop averaging deconvolution) are the most recent linear deconvolution methods, using the random jitter of the stimulus sequence to ensure the existence of the solution. However, there are two key points in the application of the method. Key problems: noise suppression performance evaluation and stimulus sequence optimization of stimulus sequences. This study indicates that the noise suppression ability of the sequence needs to be combined with the statistical characteristics of the noise itself. It is particularly confirmed that the EEG noise conforms to the 1/f model under the recording conditions of ABR and MLR. For this reason, we propose a new noise gain factor measure. The performance. Through the full test data test, it is proved that the new measurement and the noise suppression ability of the actual CLAD stimulus sequence are highly correlated. As the objective function, we use the classical genetic algorithm as an example to optimize the generation of the sequence under a given constraint condition. This study has solved the above two key problems well and is beneficial to promote the promotion. The comparison of the characteristics of the latent period reaction in the application of the CLAD method in.2.40Hz shows that the stimulation rate has a significant effect on the medium latency reaction. When the stimulation rate is 40 Hz, the obviously enhanced steady state reaction is considered to be related to the phase enhancement of MLR. But there are also definite experiments showing that the mechanism of the 40 Hz induced reaction is otherwise explained. Deconvolution technology can restore the transient AEP component of 40 Hz. Therefore, this work tries to answer two basic questions: what is the basic characteristic of the 40 Hz transient response compared to the conventional 5 Hz recording conditions; the 40 Hz stimulus sequence of different jitter modes is a reference to the response of the transient AEP. We choose to compare the CLAD paradigm and the other one. The MSAD (multi-rate steady-state averaging deconvolution) example of different jitter is carried out to convolution the 40 Hz transient AEP and compare with the conventional 5 Hz recording AEP. The results show that the MLR is more clear and stable under the rapid stimulus, and the different jitter modes of the sequence are displayed to some components of MLR. It shows that MLR is influenced significantly by the stimulus rate, and the maximum long sequence of noise attenuation analysis (Maximum length sequence, MLS), which affects the maximum long sequence of the.3. nonlinear AEP reconstruction, is influenced by the stimulus sequence design (MLS) is a classical deconvolution sequence, and the regression of linear and nonlinear AEP components.MLS is based on different orders by intercorrelation technology. This study aims to evaluate the relationship between the noise attenuation characteristics of MLS and the relation between the noise attenuation characteristics and the order. We give the theoretical formula of the noise attenuation coefficient of the superposition mean process and the intercorrelation process, and extract the experiment with the real and real ABR nonlinear components. The theoretical deduction and experimental results show that the noise attenuation is independent of the order, but is determined by the total length of the EEG data and the stimulus rate of MLS. This study provides the basis for the selection of MLS and can be used to estimate the time and signal to noise ratio required by the MLS experiment.
【學(xué)位授予單位】：南方醫(yī)科大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2017
【分類號】：R318.0

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