本文關(guān)鍵詞： 腦力疲勞 腦電 回歸分析 跨時(shí)間 跨個(gè)體　出處：《天津大學(xué)》2014年碩士論文　論文類(lèi)型：學(xué)位論文

【摘要】：隨著社會(huì)發(fā)展,人們生活節(jié)奏的加快、工作壓力的增加,在如軍事作業(yè)人員、駕駛員、外科手術(shù)醫(yī)師、值夜班者等人群中,腦力疲勞的發(fā)生比例也隨之增加。而嚴(yán)重的腦力疲勞會(huì)對(duì)人們的工作和生活產(chǎn)生極大的負(fù)面影響,甚至威脅人類(lèi)的生命財(cái)產(chǎn)安全。因此,對(duì)腦力疲勞的檢測(cè)是十分重要的,它能夠?yàn)槠陬A(yù)警提供依據(jù),幫助后續(xù)疲勞對(duì)抗措施的有序進(jìn)行,從而減輕甚至消除腦力疲勞帶來(lái)的危害。本論文設(shè)計(jì)了一種新型工作記憶任務(wù)(N-back)實(shí)驗(yàn),將原本單一考察某一方面記憶的N-back劃分為同時(shí)調(diào)用空間、顏色、形狀記憶的新實(shí)驗(yàn),并根據(jù)被試者訓(xùn)練情況調(diào)節(jié)負(fù)荷強(qiáng)度,從而更有效的誘發(fā)被試者腦力疲勞;在實(shí)驗(yàn)的同時(shí),記錄被試者腦電(electroencephalography,EEG)和N-back實(shí)驗(yàn)結(jié)果數(shù)據(jù),并加入被試疲勞量表的填寫(xiě);根據(jù)采集到的樣本,對(duì)數(shù)據(jù)進(jìn)行處理,篩選導(dǎo)聯(lián)及特征,最終建立腦力疲勞預(yù)測(cè)回歸模型;通過(guò)對(duì)腦電數(shù)據(jù)進(jìn)行連續(xù)量化標(biāo)注,比較了使用不同腦力疲勞程度標(biāo)注建立的腦力疲勞模型優(yōu)劣;此外,驗(yàn)證了腦力疲勞模型的跨時(shí)間、跨個(gè)體預(yù)測(cè)的正確性;并針對(duì)腦力疲勞標(biāo)注不統(tǒng)一的現(xiàn)象,探討腦力疲勞融合標(biāo)注的效果。得到的主要結(jié)論有:以擬合優(yōu)度檢驗(yàn)為判據(jù),使用搜索技術(shù)結(jié)合交叉驗(yàn)證篩選用于腦力疲勞預(yù)測(cè)模型的導(dǎo)聯(lián)和特征,可建立腦力疲勞預(yù)測(cè)的回歸模型;在對(duì)樣本進(jìn)行標(biāo)注時(shí),使用等效實(shí)驗(yàn)時(shí)長(zhǎng)比等效正確率效果更好,前者最終建立的腦力疲勞預(yù)測(cè)回歸模型其R2能達(dá)到0.9以上,腦電特征對(duì)腦力疲勞程度的解釋性較強(qiáng);對(duì)模型進(jìn)行分析發(fā)現(xiàn),建立的預(yù)測(cè)回歸模型具有一定的跨時(shí)間、跨個(gè)體正確性,且不具有性別差異,但模型并不十分穩(wěn)定,仍需要進(jìn)行時(shí)間校正、個(gè)體校正,以及優(yōu)化腦力疲勞的標(biāo)注;對(duì)腦力疲勞融合標(biāo)注的研究結(jié)果也表明,可使用等效正確率比值結(jié)合等效實(shí)驗(yàn)時(shí)長(zhǎng)融合標(biāo)注腦力疲勞程度。
[Abstract]:With the development of society, the pace of life of people, the increase of work pressure, such as military operators, drivers, surgeons, night shift and other people. The proportion of mental fatigue also increases. Serious mental fatigue will have a great negative impact on people's work and life, and even threaten the safety of human life and property. The detection of mental fatigue is very important. It can provide the basis for fatigue warning and help the follow-up fatigue countermeasures to proceed in an orderly manner. In order to reduce or even eliminate the harm caused by mental fatigue, this paper designed a new working memory task N-back-based experiment. N-back, which was originally used to examine a single aspect of memory, was divided into a new experiment of simultaneous transfer space, color and shape memory, and the load intensity was adjusted according to the training situation of the subjects. Thus more effectively induced mental fatigue; At the same time, the data of electroencephalography (EGG) and N-back test were recorded, and the participants were added to the fatigue scale. According to the collected samples, the data were processed, the lead and characteristics were screened, and the regression model of mental fatigue prediction was established. Through continuous quantification of EEG data, the advantages and disadvantages of mental fatigue model with different mental fatigue degree tagging were compared. In addition, the validity of cross-time and cross-individual prediction of mental fatigue model is verified. Aiming at the phenomenon of inconsistency of mental fatigue labeling, the effect of mental fatigue fusion labeling is discussed. The main conclusions are as follows: the goodness of fit test is taken as the criterion. The regression model of mental fatigue prediction can be established by using search technology and cross-validation to screen the leads and characteristics of the prediction model. In the labeling of samples, the length of the equivalent experiment is better than the equivalent correct rate. The R2 of the regression model of mental fatigue prediction established by the former can reach 0.9 or more. The characteristics of EEG explained the degree of mental fatigue more strongly. Analysis of the model found that the established predictive regression model has a certain cross-time, cross-individual correctness, and no gender difference, but the model is not very stable, still need to carry out time correction, individual correction. And optimizing the marking of mental fatigue; The results of the research on mental fatigue fusion labeling also show that the degree of mental fatigue can be marked by using the ratio of equivalent correct rate combined with the equivalent experiment.
【學(xué)位授予單位】：天津大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類(lèi)號(hào)】：R741.044

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本文編號(hào)：1444363