【摘要】：聽(tīng)覺(jué)誘發(fā)腦干反應(yīng)信號(hào)是產(chǎn)生于聽(tīng)神經(jīng)，表現(xiàn)在頭頂與乳突之間的腦電信號(hào)，通過(guò)對(duì)聽(tīng)力誘發(fā)腦干反應(yīng)信號(hào)的檢測(cè)不僅能夠判斷人耳聽(tīng)力功能的正常與否而且還能夠有效的定位聽(tīng)力功能的病變部位。目前國(guó)內(nèi)的聽(tīng)覺(jué)誘發(fā)腦干信號(hào)檢測(cè)設(shè)備市場(chǎng)基本被國(guó)外公司壟斷，而且價(jià)格昂貴。所以本文設(shè)計(jì)一款性?xún)r(jià)比比較高的聽(tīng)覺(jué)誘發(fā)腦干信號(hào)檢測(cè)儀。 本文在深入研究了聽(tīng)覺(jué)誘發(fā)腦干反應(yīng)信號(hào)特點(diǎn)的基礎(chǔ)上，，針對(duì)聽(tīng)覺(jué)誘發(fā)腦干反應(yīng)信號(hào)微弱，突變性強(qiáng)造成信號(hào)提取困難的特點(diǎn)，設(shè)計(jì)高輸入阻抗、低噪聲的前置放大電路，并且采用中位值平均濾波對(duì)提取的腦電信號(hào)做前期去噪，利用DB系小波的局部化能力強(qiáng)、coif系小波較強(qiáng)的高低頻率劃分能力的特點(diǎn)，結(jié)合DB6小波與coif3小波對(duì)聽(tīng)力誘發(fā)腦電信號(hào)進(jìn)行后期去噪，利用余弦求和算法對(duì)聽(tīng)覺(jué)誘發(fā)腦干反應(yīng)信號(hào)進(jìn)行時(shí)域的特征提取。在硬件電路設(shè)計(jì)上，誘發(fā)刺激聲發(fā)生單元包括數(shù)模轉(zhuǎn)換電路、音頻放大電路和選擇發(fā)聲探頭，信號(hào)處理采集單元包括腦電電極、前置放大電路、二級(jí)放大電路、三級(jí)濾波電路、主放大電路，信號(hào)采集電路，此外還具有通信單元、數(shù)據(jù)存儲(chǔ)單元、時(shí)鐘電路單元、電源單元、打印單元等。 本文設(shè)計(jì)的聽(tīng)覺(jué)誘發(fā)腦干反應(yīng)檢測(cè)儀可以與上位機(jī)連接使用。利用儀器進(jìn)行實(shí)驗(yàn)驗(yàn)證設(shè)計(jì)的可行性。
[Abstract]:The auditory evoked brainstem response (brainstem response) is an electrical signal of the brain between the head of the head and the mastoid, which is produced by the auditory nerve. The detection of auditory evoked brainstem response signal can not only judge the normal or not of human ear hearing function, but also can effectively locate the lesion location of hearing function. At present, the market of auditory evoked brainstem signal detection equipment is monopolized by foreign companies, and the price is expensive. Therefore, this paper designs a high cost-effective auditory evoked brainstem signal detector. Based on the in-depth study of the characteristics of auditory evoked brainstem response signal, a preamplifier circuit with high input impedance and low noise is designed in this paper, aiming at the characteristics of weak auditory evoked brainstem response signal and the difficulty of signal extraction caused by the strong mutagenicity of auditory evoked brainstem response signal. The median average filter is used to Denoise the extracted EEG signal in the early stage, and the characteristics of the high and low frequency partition ability of the DB wavelet and coifwavelet are used, which are strong in localization ability and coif wavelet in high and low frequency. Combined with DB6 wavelet and Coif3 wavelet, the auditory evoked EEG signal was de-noised at the later stage. The cosine summation algorithm was used to extract the features of the auditory evoked brainstem response signal in time domain. In the hardware circuit design, the evoked stimulation sound generating unit includes the digital-analog conversion circuit, the audio amplifying circuit and the selective sounding probe. The signal processing acquisition unit includes the EEG electrode, the preamplifier circuit, the second-stage amplifier circuit and the three-stage filter circuit. Main amplifier circuit, signal acquisition circuit, communication unit, data storage unit, clock circuit unit, power supply unit, printing unit, etc. The auditory evoked brainstem response detector designed in this paper can be connected with the upper computer. The feasibility of the design is verified by experiment with the instrument.
【學(xué)位授予單位】：哈爾濱理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類(lèi)號(hào)】：TN911.7;R318.04

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