發(fā)布時(shí)間：2018-01-27 06:58

  本文關(guān)鍵詞： 誤踩操作 近紅外光譜 小波變換 腦功能連接　出處：《山東大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：近些年隨著汽車保有量的增加,年輕駕駛員的比例在逐步上升,因此道路交通安全也成為大眾關(guān)注的焦點(diǎn)。年輕駕駛員一個(gè)最關(guān)鍵的問題就是誤踩操作,現(xiàn)在電視和媒體關(guān)于駕駛員由于突發(fā)情況慌張和疲勞等因素導(dǎo)致駕駛員誤踩加速踏板的情況已經(jīng)是屢見不鮮,這種誤操作無論是對(duì)車內(nèi)駕駛員還是車外行人都是致命性的。在較容易發(fā)生誤踩操作的駕駛員人群中,他們?cè)谌粘ｉ_車的過程中發(fā)生錯(cuò)誤的可能性要比不容易發(fā)生誤踩操作人群高很多,易發(fā)生人群在腦部各區(qū)域協(xié)調(diào)性方面與正常人群相比是有差別的。因此,本文旨在通過腦功能連接的方法尋找誤踩操作的腦部連接生理機(jī)理,為駕駛室防誤踩效果監(jiān)測(cè)及申領(lǐng)駕駛執(zhí)照的學(xué)員重點(diǎn)培訓(xùn)提供理論依據(jù)。腦功能連接是尋找誤踩操作腦部機(jī)理的主要研究方法,它能夠反映腦部不同區(qū)域神經(jīng)活動(dòng)之間的相關(guān)性,而在低頻段自發(fā)性神經(jīng)信號(hào)之間存在某種連接特性。由于神經(jīng)血管耦合作用的存在,神經(jīng)活動(dòng)與腦部血氧含量有一定的相關(guān)性,所以從血氧濃度出發(fā),就能夠很好地反應(yīng)神經(jīng)活動(dòng)。本文是基于多通道近紅外光譜法采集腦部不同區(qū)域的血氧信號(hào),近紅外方法的優(yōu)點(diǎn)是無創(chuàng)、連續(xù)、實(shí)時(shí)地檢測(cè)腦部微組織循環(huán)的血氧參數(shù)。信號(hào)經(jīng)過預(yù)處理之后經(jīng)小波變化得到其時(shí)頻特性,通過計(jì)算不同通道之間的小波相位相干性值,來作為腦功能連接的評(píng)價(jià)指標(biāo)。小波相位相干性值按照生理來源影響的不同可劃分為六個(gè)頻率頻率間隔:Ⅰ,0.6-2.0 Hz;Ⅱ,0.145-0.6 Hz;Ⅲ,0.052-0.145 Hz;Ⅳ,0.021-0.052 Hz;V,0.0095-0.021Hz;Ⅵ,0.005-0.0095 Hz。本文先通過警惕任務(wù)模型驗(yàn)證其模擬駕駛負(fù)荷的有效性,再通過模擬駕駛器的正常駕駛與添加了突發(fā)因素和疲勞因素的任務(wù)態(tài)駕駛,在正常駕駛和任務(wù)過程中同時(shí)測(cè)量腦部血氧濃度信號(hào),最后得出兩種狀態(tài)下的血氧濃度信號(hào),信號(hào)經(jīng)基于Morlet小波的小波分析方法得出不同通道信號(hào)的耦合關(guān)系,即小波相位相干性值,來評(píng)估誤踩操作狀態(tài)下的腦功能連接與正常駕車狀態(tài)下的腦功能連接的差異性。本文研究表明得出,通過小波變換的方法可以進(jìn)行時(shí)頻域轉(zhuǎn)化并提取出感興趣的頻率成分,單獨(dú)分析其各頻率成分(生理來源)在相位同步性方面對(duì)誤踩操作的影響,從根本上解釋了駕駛員發(fā)生誤踩操作的原因,對(duì)駕駛員駕駛水平的評(píng)估提供新角度。
[Abstract]:In recent years, with the increase of vehicle ownership, the proportion of young drivers is gradually rising, so road traffic safety has become the focus of public concern. Now TV and the media about drivers due to sudden panic and fatigue and other factors leading to the driver to step on the acceleration pedal situation is common. This misoperation is fatal to both the driver inside the vehicle and the layman. They are much more likely to make mistakes in the course of their daily driving than people who are not prone to misstepping, and are different from normal people in terms of coordination across brain regions. The purpose of this paper is to find out the physiological mechanism of brain connection by using the method of brain functional connection. It provides the theoretical basis for the monitoring of the cab anti-false stepping effect and the key training for the students who apply for driving license. The brain functional connection is the main research method to find the mechanism of the misstepping operation of the brain. It can reflect the correlation between neural activities in different regions of the brain, and there is a connection between spontaneous nerve signals at low frequency. There is a certain correlation between the neural activity and the blood oxygen content in the brain, so starting from the blood oxygen concentration, the neural activity can be well reflected. This paper is based on the multi-channel near infrared spectroscopy to collect blood oxygen signals from different regions of the brain. Near-infrared method has the advantages of noninvasive, continuous, real-time detection of blood oxygen parameters of microcirculation in the brain. After pretreatment, the time-frequency characteristics of the signal are obtained by wavelet changes. By calculating the wavelet phase coherence between different channels, as the evaluation index of brain functional connection, the wavelet phase coherence value can be divided into six frequency intervals according to different physiological sources: I. 0.6-2.0 Hz; 鈪，

本文編號(hào)：1467891