中荷生物醫(yī)學(xué)與信息工程學(xué)院

1、中荷生物醫(yī)學(xué)與信息工程學(xué)院研究生學(xué)位論文規(guī)范依據(jù)東北大學(xué)授予研究生學(xué)位的工作細(xì)則、東北大學(xué)碩士/博士學(xué)位論文排版打印格式，結(jié)合學(xué)院學(xué)位評定分委員會(huì)的要求，特制定中荷生物醫(yī)學(xué)與信息工程學(xué)院學(xué)位論文規(guī)范。此規(guī)范專為我學(xué)院研究生撰寫、打印學(xué)位論文時(shí)使用。本規(guī)范自2007年5月1日起實(shí)行。1 學(xué)位論文的結(jié)構(gòu)學(xué)位論文主要部分由前頭部分、主體部分和結(jié)尾部分組成。1.1 前頭部分 （1）封面：采用學(xué)位論文標(biāo)準(zhǔn)封面，統(tǒng)一采用簡化漢字。（2）扉頁題名頁（中、英兩種）。（4）聲明頁（獨(dú)創(chuàng)性聲明和網(wǎng)上交流聲明）。（5）摘要（中、英兩種文字）（6）目錄（7）插圖和附表清單（只限必要時(shí)）（8）縮略字、縮寫詞、符號(hào)、單位

2、表（只限必要時(shí)）（9）名詞術(shù)語注釋表（只限必要時(shí)）1.2 主體部分（1）緒論（前言、引言、緒言）（2）正文（3）結(jié)尾（討論、結(jié)論、建議、展望等）1.3 結(jié)尾部分（只限必要時(shí)采用）（1）參考文獻(xiàn)（2）致謝（3）攻讀學(xué)位期間發(fā)表的論著、獲獎(jiǎng)情況及發(fā)明專利等項(xiàng)。（4）作者從事科學(xué)研究和學(xué)習(xí)經(jīng)歷的簡歷（5）可供參考的文獻(xiàn)題錄（只限必要時(shí)采用）（6）索引（只限必要時(shí)采用）2 學(xué)位論文的版式紙張大?。杭埖某叽鐬闃?biāo)準(zhǔn)A4復(fù)印紙（210mm×297mm）。版芯（打印尺寸）：160mm×247mm（頁面設(shè)置中的頁邊距上、下左、右各為2.5厘米）。正文字體字號(hào)：小4號(hào)宋體，全文統(tǒng)一。每頁303

3、5行（約1.25倍行距），每行3538字。裝訂：雙面打印印刷，沿左邊裝訂。頁眉：自摘要頁起加頁眉，眉體用單線，頁眉說明用5號(hào)楷體，左端“東北大學(xué)（博士或碩士）學(xué)位論文”，右端“章號(hào) 章題”。頁碼：自聲明頁起加頁碼，頁碼用小4號(hào)宋體。全文頁碼分節(jié)進(jìn)行編制，從聲明始至目錄結(jié)束，用、.等頁碼符號(hào)，自第一章開始至全文結(jié)束，用1、2、3.等頁碼符號(hào)。頁碼兩側(cè)用一字橫線修飾，如：“3、”。3 學(xué)位論文的體例3.1 標(biāo)題論文正文按章、條、款、項(xiàng)分級(jí)，在不同級(jí)的章、條、款、項(xiàng)阿拉伯?dāng)?shù)字編號(hào)之間用點(diǎn)“.”（半角實(shí)心下圓點(diǎn)）相隔，最末級(jí)編號(hào)之后不加點(diǎn)。排版格式見表3.1。此分級(jí)編號(hào)法只分至第四級(jí)。再分可用（1）、

4、（2）；（a）、（b）等。表3.1 標(biāo)題排版格式標(biāo)題字號(hào)字體格式舉例第一級(jí)(章)二號(hào)黑體居中，占3行第1章 XXX第二級(jí)(條)三號(hào)黑體居左，占2行1.1 XXXXXX第三級(jí)(款)四號(hào)黑體居左，占2行1.1.1 XXXXXX第四級(jí)(項(xiàng))小四號(hào)黑體居左，占1行 XXXXXX摘要、目錄、參考文獻(xiàn)、致謝、個(gè)人簡歷等標(biāo)題作為第一級(jí)標(biāo)題排版。3.2 正文漢字字體字號(hào)：正文字體小4號(hào)宋體。外文、數(shù)字字號(hào)與同行漢字相同，字體用WORD系統(tǒng)中的Times New Roman體。3.2.1 插圖插圖包括圖解、示意圖、構(gòu)造圖、曲線圖、框圖、流程圖、布置圖、地圖、照片、圖版等。插圖注明項(xiàng)有圖號(hào)、圖題、圖

5、例。圖號(hào)編碼用章序號(hào)。如“圖2.1“表示第2章第1圖。圖號(hào)與圖題文字間置一字空格，置于圖的正下方，圖題用5號(hào)宋體，須全文統(tǒng)一。圖中標(biāo)注符號(hào)文字字號(hào)不大于圖題的字號(hào)。3.2.2 表表的一般格式是數(shù)據(jù)依序豎排，內(nèi)容和項(xiàng)目由左至右橫讀，通版排版。表號(hào)也用章序號(hào)編碼，如：表2.1是第2章中的第1表。表應(yīng)有表題，與表號(hào)之間空12字，置于表的上方居中，用5號(hào)宋體，須全文統(tǒng)一。表中的內(nèi)容和項(xiàng)目字號(hào)不大于圖題的字號(hào)。3.2.3 公式公式包括數(shù)學(xué)、物理和化學(xué)公式。正文中引用的公式、算式或方程式等可以按章序號(hào)用阿拉伯?dāng)?shù)字編號(hào)（式號(hào)），如：式（2.1）表示第2章第1式，公式一般單行居中排版與上下文分開，式號(hào)與公式同

6、行居右排版。3.3 附錄附錄中的圖、表、公式、參考文獻(xiàn)等另行編排序號(hào)，與正文分開，也一律用阿拉伯?dāng)?shù)字編號(hào)，但在數(shù)碼前冠以附錄序碼。例如：圖A.1，式（B.3）等。3.4 計(jì)量單位學(xué)位論文一律采用1984年2月27日國務(wù)院發(fā)布的中華人民共和國法定計(jì)量單位，并遵照中華人民共和國法定計(jì)量單位使用方法執(zhí)行。論文中命名用各種量、單位和符號(hào)，必須遵循國家標(biāo)準(zhǔn)GB3100-82，GB3101-82，GB3102/1-13-82等的規(guī)定。單位名稱和符號(hào)的書寫方式，可以采用國際通用符號(hào)，也可以用中文名稱，但須全文統(tǒng)一，不應(yīng)混用。3.5 參考文獻(xiàn)參考文獻(xiàn)采用順序號(hào)編號(hào)體系。專著格式：序號(hào).編著者.書名M，出版地：

7、出版社，年代，起止頁碼.期刊論文格式：序號(hào).作者.論文名稱J，期刊名稱，年度，卷（期）：起止頁碼.學(xué)位論文格式：序號(hào).作者.學(xué)位論文名稱D，發(fā)表地：學(xué)位授予單位，年度.參考文獻(xiàn)舉例：1.張毅.鑄造工藝CAD及其應(yīng)用M，北京：機(jī)械工業(yè)出版社，1994，14-15.2.Huang S C,Huang Y M,Shieh S M.Vibration and stability of a rotating shaft containing a transerse crack J,J Sound and Vibration,1993,162(3):387-401.3.周麗.機(jī)械式挖掘機(jī)工作裝置的優(yōu)化與仿

8、真D，沈陽：東北大學(xué)，2000.表格舉例：表2.1 設(shè)計(jì)鋼的化學(xué)成分（質(zhì)量百分比，%）Tab.2.1 Chemical compositions of designed steels (mass%)CMnSiNV合金I0.11.0<0.20.010.1合金II0.11.0<0.20.020.1合金III0.11.0<0.20.010.05公式舉例： (6.1) (6.2)圖舉例：圖3.3 硬度和表面粗糙度隨CSR形變量的變化Fig.3.3 Variation of hardness and surface roughnessof the samples with CSR re

9、duction4 特別說明事項(xiàng) （1）學(xué)位論文題目務(wù)必要精練，字?jǐn)?shù)一般不超過20個(gè)（每個(gè)外文單詞算一個(gè)字）。（2）學(xué)位論文的摘要應(yīng)是對全文的概括與總結(jié)，并突出論文的精髓。碩士學(xué)位論文中文摘要字?jǐn)?shù)為600800字，博士學(xué)位論文中文摘要字?jǐn)?shù)為8001000字。英文摘要應(yīng)與中文一致。（3）學(xué)位論文正文需雙面打印，碩士學(xué)位論文正文應(yīng)不少于60頁，博士學(xué)位論文正文應(yīng)不少于100頁。（4）論文的第1章結(jié)尾應(yīng)有“本文研究內(nèi)容”單獨(dú)小節(jié)；其后各章結(jié)尾應(yīng)有“本章小結(jié)”單獨(dú)小節(jié)。（5）學(xué)位論文研究需有結(jié)論和討論，以明確提出本人獨(dú)立的觀點(diǎn)，并對自己的觀點(diǎn)進(jìn)行討論。（6）全文的圖、表、公式要求自制，盡量避免截圖，并要

10、求圖文并茂。（7）參考文獻(xiàn)要求：所引用的參考文獻(xiàn)應(yīng)為公開發(fā)表的文獻(xiàn)，或已獲承認(rèn)的學(xué)位論文，不包括網(wǎng)絡(luò)文章。所列參考文獻(xiàn)2/3以上需在正文中引用，所引用的參考文獻(xiàn)均應(yīng)在正文中相應(yīng)處正確標(biāo)注。碩士生所引用的參考文獻(xiàn)數(shù)量不少于30篇，其中外文文獻(xiàn)不少于10篇，近3年文獻(xiàn)不少于5篇。博士生所引用的參考文獻(xiàn)數(shù)量不少于80篇，其中外文文獻(xiàn)不少于30篇，近3年文獻(xiàn)不少于10篇。同一文獻(xiàn)作者多于3人時(shí)，只列明前3位作者，其余以“等”或“et al”代替。學(xué)位論文全文舉例如下：分類號(hào) 密級(jí) UDC 學(xué) 位 論 文基于情緒感知的腦電活動(dòng)研究作者姓名：某 某指導(dǎo)教師：某某某 教授東北大學(xué)中荷生物醫(yī)學(xué)與信息工程學(xué)院申

11、請學(xué)位級(jí)別：博士/碩士學(xué)科類別：工學(xué)學(xué)科專業(yè)名稱：生物醫(yī)學(xué)工程論文提交日期：年 月 日論文答辯日期：年 月 日學(xué)位授予日期：答辯委員會(huì)主席：某某某評閱人：某某某、某某某東 北 大 學(xué)xxxx年xx月A Thesis（/ Dissertation）in Biomedical EngineeringResearch of Electroencephalogram Function Based on Emotion PerceptionBy Mou MoumouSupervisor: Professor Mou MoumouNortheastern Universityxxxxxxx獨(dú)創(chuàng)性聲明本人聲

12、明，所呈交的學(xué)位論文是在導(dǎo)師的指導(dǎo)下完成的。論文中取得的研究成果除加以標(biāo)注和致謝的地方外，不包含其他人己經(jīng)發(fā)表或撰寫過的研究成果，也不包括本人為獲得其他學(xué)位而使用過的材料。與我一同工作的同志對本研究所做的任何貢獻(xiàn)均己在論文中作了明確的說明并表示謝意。 學(xué)位論文作者簽名：日 期：學(xué)位論文版權(quán)使用授權(quán)書本學(xué)位論文作者和指導(dǎo)教師完全了解東北大學(xué)有關(guān)保留、使用學(xué)位論文的規(guī)定：即學(xué)校有權(quán)保留并向國家有關(guān)部門或機(jī)構(gòu)送交論文的復(fù)印件和磁盤，允許論文被查閱和借閱。本人同意東北大學(xué)可以將學(xué)位論文的全部或部分內(nèi)容編入有關(guān)數(shù)據(jù)庫進(jìn)行檢索、交流。作者和導(dǎo)師同意網(wǎng)上交流的時(shí)間為作者獲得學(xué)位后：半年 一年 一年半 兩年學(xué)

13、位論文作者簽名： 導(dǎo)師簽名：簽字日期： 簽字日期：- I -東北大學(xué)碩士/博士學(xué)位論文 摘要基于情緒感知的腦電活動(dòng)研究摘 要近年來隨著生物醫(yī)學(xué)技術(shù)的不斷發(fā)展，人們對腦電的研究也逐步加深，基于情緒感知的腦電信號(hào)的研究逐漸成為近年來研究的焦點(diǎn)課題之一，研究學(xué)者通過大量實(shí)驗(yàn)證明，事件相關(guān)電位可以敏感地反映出情緒變化在腦內(nèi)的活動(dòng)過程，為人腦高級(jí)功能的研究提供了一種客觀可行的方法，同時(shí)，事件相關(guān)電位也是評價(jià)大腦信息處理活動(dòng)的一種無創(chuàng)傷性方法，被譽(yù)為“觀察腦高級(jí)功能的窗口”。通過查閱眾多相關(guān)文獻(xiàn)和進(jìn)行大量實(shí)驗(yàn)，本研究在腦電信號(hào)采集實(shí)驗(yàn)設(shè)計(jì)部分采用圖片實(shí)驗(yàn)組和樂曲混合對照組進(jìn)行實(shí)驗(yàn)對比，同時(shí)考慮到情緒類型的

14、多樣性以及誘發(fā)效應(yīng)不同，對每個(gè)實(shí)驗(yàn)組分別進(jìn)行三種不同情緒（愉快、悲傷、恐懼）的誘發(fā)實(shí)驗(yàn)?？紤]到事件相關(guān)腦電是一種特殊的誘發(fā)電位，通常情況下幅值為幾微伏，而自發(fā)腦電的幅值是其數(shù)十倍，通過直接采集的信號(hào)無法觀察其波形。而且在采集到的腦電信號(hào)中混有大量偽跡和噪聲，對分析ERP特征帶來了很大的困難，嚴(yán)重影響了分析結(jié)果的準(zhǔn)確性。在ERP提取方面，本文提出了一個(gè)基于ICA和小波分析的腦電去偽跡、濾噪的方法。信號(hào)的主要處理過程為：首先采用FastICA算法對采集到的腦電信號(hào)進(jìn)行分量分解，去除偽跡成分；對處理后數(shù)據(jù)進(jìn)行數(shù)據(jù)分段，以段為單位提取每個(gè)靶刺激處腦電信號(hào)；再進(jìn)行基線校準(zhǔn)調(diào)整信號(hào)位置；將數(shù)據(jù)進(jìn)行相干疊加

15、，可以觀察到ERP波形；為了使得到的ERP信號(hào)更清晰、直觀，在考慮了濾波器等幾種去噪的方法后，選擇了去噪效果較好的小波方法進(jìn)行濾波去噪，獲取較清晰的ERP信號(hào)。XXXXXXXXXXXXXXXXXXXXXXX關(guān)鍵詞：事件相關(guān)電位；情緒感知；ERP提??；ICA；小波分析- III -東北大學(xué)碩士/博士學(xué)位論文 AbstractResearch of Electroencephalogram Function Based on Emotion PerceptionAbstractNowadays, as the developments of the biomedical technology, E

16、EG study comes to a new stage. The research of EEG based on emotion perception has gradually become the focus in the field of emotional study. After a large number of experiments, researchers find that event-related potentials are quite sensitive and could reflect the process of brain activity in th

17、e change of emotion, which also provide a feasible solution for investigating human advanced brain function and a noninvasive for assessing brains information processing activities. Therefore, The ERP is called “the window for advanced brain function observation”.By accessing to relevant documents a

18、nd trying abundant experiments, a new experimental scheme for acquiring brain signals was proposed. The testees were divided into two groups (one is for picture stimulation, the other is for picture and music stimulation) in order to make comparison. Considering the diversity of emotion type and the

19、 strength of emotions, we choose three different kinds of emotions (happiness, sadness and horrible) in each experimental group.Event-related EEG is a special evoked potential, whose amplitude is about several Micro-V. However, the amplitude of spontaneous EEG is over ten times larger than ERP. Ther

20、eby the ERP wave can not be directly observed in the raw signals. Usually there are a lot of noises and false tracks which mix in the raw EEG, in order to remove them, this paper propose an ERP extraction method based on ICA and wavelet to remove the false tracks. The whole procedure for signal proc

21、essing is: Firstly, the FastICA algorithm is employed to decompose out the false track components. Then divided the data into epoch (according to the trial numbers), correcting the baseline of the signals and take congruence average, so that the ERP wave could appear. Finally, to get a clearer signa

22、l of ERP, the wavelet method is applied to filter noise.Comparing and concluding the processed the EEG signals from behavior record, rhythm wave, ERP wave and BEAP, its concluded that the electroencephalogram activity in some emotion perception differs greatly. When people are busy in cognizing proc

23、ess, the one who is in positive emotion has the lower accuracy and lower EEG active. However, its response is faster than those persons in negative emotion. Also, it is validated that the perception of music is mostly controlled by the right hemisphere and the right-hander has dominance in left hemi

24、sphere.Key words: ERP; emotional perception; ERP extraction; ICA; wavelet analysis- -東北大學(xué)碩士/博士學(xué)位論文 目錄目 錄聲明································&#

25、183;·················································&#

26、183;···········································中文摘要·····

27、3;·················································

28、3;·················································

29、3;············Abstract····································&#

30、183;·················································&#

31、183;······································ 第1章 導(dǎo)論··········&

32、#183;·················································&

33、#183;··· ··············································

34、············ ·············· 11.1 XXXXXXXXXXXXXXXX····················&

35、#183;·················································&

36、#183;·················································&

37、#183;·····11.1.1 XXXXXXXXXXXXX·········································

38、;··················································

39、;································· 11.1.2 XXXXXXXXXXXX·············

40、83;·················································

41、83;·················································

42、83;··········· 21.2 XXXXXXXXXXXXXXXX···································

43、;··················································

44、;········································· 3 XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX1

45、.n 本文研究內(nèi)容················································

46、83;·················································

47、83;····································6第2章 XXXXXXXXXXXXXXXXXXXXXXXXXXX········&

48、#183;·················································&

49、#183;·········· ···82.1 XXXXXXXXXXXX·································&

50、#183;·················································&

51、#183;·················································&

52、#183;112.1.1 XXXXXXXXXXXX··············································

53、;··················································

54、;·····························122.1.2 XXXXXXXXXXXXX·················&#

55、183;·················································&#

56、183;·················································&#

57、183;·····142.2 XXXXXXXXXXX·········································

58、83;·················································

59、83;············································152.2.1 XXXXXXX···

60、··················································

61、··················································

62、··································162.2.2 XXXXXXXXX·············&

63、#183;·················································&

64、#183;·················································&

65、#183;··················19 ······························

66、3;·················································

67、3;·······························2.n 本章小結(jié)·················&#

68、183;·················································&#

69、183;·················································&#

70、183;·······················22第3章 XXXXXX························&#

71、183;·················································&#

72、183;·················································&#

73、183;·······233.1 XXXXXXXXXXXXXXX·······································

74、;··················································

75、;····································· 233.1.1 XXXXXXXXXXX·········

76、83;·················································

77、83;·················································

78、83;················· 243.1.2 XXXXXXXXXXXX·····························

79、··················································

80、············································· 243.2 XXXXXXXXXXXXXXX·&#

81、183;·················································&#

82、183;·················································&#

83、183;·························263.3 XXXX······················

84、3;·················································

85、3;·················································

86、3;·····························28····················&#

87、183;·················································&#

88、183;·················································&#

89、183;·················································&#

90、183;·················································&#

91、183;···3.n 本章小結(jié)·············································

92、··················································

93、··············································52第n章 XXXXXXXXX·

94、83;·················································

95、83;·················································

96、83;···················53n.1 XXXXXXXXXXXXX···························&#

97、183;·················································&#

98、183;·················································&#

99、183;···53n.1.1 XXXXXXXX···········································

100、3;·················································

101、3;·········································54n.1.2 XXXXXXXXXXXX·····&#

102、183;·················································&#

103、183;·················································&#

104、183;···················558- -XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXn.2 XXXXXXXXXX···················

105、··················································

106、··················································

107、···················58n.2.1 XXXXXX····························

108、3;·················································

109、3;·················································

110、3;··········59n.2.2 XXXXXXXXX·····································

111、;··················································

112、;·············································62 ····&#

113、183;·················································&#

114、183;·················································&#

115、183;·················································&#

116、183;·················································&#

117、183;···················n.n 本章小結(jié)·····························

118、··················································

119、··················································

120、············66·····································

121、3;·················································

122、3;·················································

123、3;·················································

124、3;····································第末章 總結(jié)與展望（碩士論文）結(jié)論與展望（博士論文）·········&#

125、183;·················································&#

126、183;······································53參考文獻(xiàn)··········&#

127、183;·················································&#

128、183;·················································&#

129、183;······73致謝··········································

130、3;·················································

131、3;·······································77附錄 ··········

132、;··················································

133、;··················································

134、;·····················799- -東北大學(xué)碩士/博士學(xué)位論文 第1章 緒論第1章 緒論1.1 研究背景及意義情緒是一種非常重要的心理現(xiàn)象，它在日常生活中扮演著非常重要的角色，影響著人們的工作、學(xué)習(xí)以及社會(huì)交往。自從美國心理學(xué)家James和丹麥生理學(xué)家Lange先后提出了情緒的外周理論以后，各領(lǐng)域的科學(xué)家就開始對情緒進(jìn)行了大量的研究。特別是近些年，情緒的腦機(jī)制1越來越

135、多的受到國內(nèi)外學(xué)者的關(guān)注，盡管研究者們通過大量實(shí)驗(yàn)探索，對情緒的心理機(jī)制及其影響有了一定了解，但科學(xué)界關(guān)于情緒的定義仍然存在一些爭論。概括地說，情緒是人腦對客觀現(xiàn)實(shí)是否滿足自身需要的一種主觀體驗(yàn)，涉及生理、心理及行為三個(gè)方面，它與其它心理過程（如認(rèn)知、動(dòng)機(jī)）有復(fù)雜的相互作用關(guān)系。正是由于情緒的這種復(fù)雜性，情緒研究一直是心理學(xué)研究中的難點(diǎn)。國內(nèi)外的研究者主要從情緒的發(fā)展、分類、情緒對其它心理過程的影響及情緒的生理機(jī)制等方面進(jìn)行研究。20世紀(jì)80年代以來，研究者開始對情緒智力（尤其是情緒調(diào)節(jié)方面）及情緒的無意識(shí)過程進(jìn)行研究，其中伴隨著腦成像技術(shù)、遮蔽實(shí)驗(yàn)等新方法的運(yùn)用。通過研究，許多心理學(xué)家相信，

136、人總會(huì)潛意識(shí)地按照“積極高興“和“消極不高興”來評價(jià)周圍環(huán)境。如果能通過腦電信號(hào)來識(shí)別人的情緒狀態(tài)，就可以更有效的為心理疾病患者進(jìn)行診斷，更準(zhǔn)確的評定腦功能康復(fù)進(jìn)展。同時(shí)，對情緒感知下腦活動(dòng)的研究還可以為人們提供事物情緒性的評定，使人們能夠選擇接近那些被定義為積極的事物，并避免那些產(chǎn)生消極結(jié)果的事物，幫助人們緩解來自社會(huì)、家庭等方面的壓力。XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX