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博碩士論文 etd-0609115-124232 詳細資訊
Title page for etd-0609115-124232
論文名稱
Title
分析英語聽力測試時的腦波反應
Analyzing the response of the EEG signals during English listening comprehension test
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
80
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2015-06-29
繳交日期
Date of Submission
2015-07-09
關鍵字
Keywords
關聯性、相對功率頻譜密度、語言處理、腦波、越零點數目
Zero crossing numbers, Mean correlation, Power spectral density, Electroencephalograph, language proficiency
統計
Statistics
本論文已被瀏覽 5688 次,被下載 48
The thesis/dissertation has been browsed 5688 times, has been downloaded 48 times.
中文摘要
在研究腦波反應與語言精進程度的互動關係上,先前大部分的研究都著力於語義與語法的處理,鮮少是以聽力測驗的形式來研究腦波反應。
本文以Cz作為參考電位,透過電極帽量測十四個頻道的腦波訊號。頻道來自額葉(Fp1、Fp2、F3、F4、F7、F8),頂葉(P3、P4),枕葉(O1、O2),顳葉(T3、T4、T5、T6)等區塊。受測者以17位右手慣用者為實驗對象(16位男性,1位女性,年齡分布在22歲至48歲)。受測者需透過我們撰寫的聽力測驗介面(採LabVIEW編程),作答60題多益聽力測驗第二部分應答問題。根據受測者點擊答題選項的時間點,每個問題都可以分為作答前與作答後兩個時期。
本研究的目標在於區分答對題目與答錯題目間的腦波反應,指標有Mean Correlation (MC)、越零點數目(ZCN)與腦波訊號在作答前、作答後或整個作答過程的功率頻譜密度(PSD)。
從實驗結果有以下發現:(1)作答前與整個作答過程在Fp1、Fp2、F3、F4、F7、F8與P3,答對題目的腦波反應其相對功率頻譜密度在σ頻帶(12-15 Hz)顯著大於(p-value < 0.05)答錯題目的腦波反應。(2)作答前與作答後的相對功率頻譜密度差異量,在θ頻帶(4-8 Hz)答錯題目的腦波反應明顯較大。(3)答錯題目時的越零點數目在額葉或顳葉的區域,在作答後會有下降的趨勢。不過未能在統計學上看出顯著差異。(4)多個成對的腦波頻道都有中度(r > 0.5)或高度以上的Mean Correlation。其中又以T5與最多頻道具有較高的Mean Correlation。
Abstract
In studying the interaction between the EEG response and language proficiency, most of pervious work address this problem from the prospective of semantic and syntactic processing. The EEG response in listening comprehension test has rarely been investigated.
With Cz as the reference, this work uses electro-cap to measure 14 channels of EEG signals including channels from frontal (Fp1, Fp2, F3, F4, F7, F8 ), parietal (P3, P4), occipital (O1, O2) and temporal regions (T3, T4, T5, T6). The test subjects include 17 right hand dominant individuals (16 men and 1 woman, age 22-48). Each subject was asked to answer 60 TOEIC listening comprehension test part II questions via our answering interface (programing by LabVIEW). By recording the time instant that the test subjects pressing the answering button, the entire period of every question is divided into before-answering and after answering-periods.
The aim of this work is to distinguish the EEG responses associated with correctly and incorrectly answered questions by using features of mean correlation (MC), zero crossing numbers (ZCN) and power spectrum density (PSD) of the EEG signals obtained from the before-answering, after answering and entire periods.
Our findings can be summarized as follows: (1) Correct-answered EEG response has significantly larger (p-value < 0.05) σ band (12-15 Hz) relative PSD than that of the incorrectly-answered EEG response in channels Fp1, Fp2, F3, F4, F7, F8, P3 for the before-answering and entire periods. (2) The change of θband (12-15 Hz) relative PSD from the before-answering to the after-answering periods are significantly larger for the incorrectly-answered EEG response. (3) The number of zero crossing points of the frontal and temporal regions tend to decrease after falsely answering the questions. However, the difference is not statistically significant. (4) Many pairs of EEG channels exhibit moderate (r > 0.5) or higher Mean Correlation. Among the tested channels, the T5 channel has the largest Mean Correlation values.
目次 Table of Contents
論文審定書 i
誌謝 ii
摘要 iii
Abstract iv
目錄 vi
圖次 ix
表次 xiii
第一章 緒論 1
1.1 前言 1
1.2 研究動機與目的 2
1.3 文獻回顧 3
1.4 論文架構 4
第二章 實驗流程與方法 5
2.1 實驗對象 5
2.2 實驗內容 6
2.3 實驗流程 6
2.4 實驗方法 9
2.4.1 實驗設備 9
2.4.2 訊號量測方法 11
第三章 腦波訊號分析流程與方法 16
3.1 訊號前處理 16
3.1.1 訊號前處理流程 16
3.1.2 訊號時間點對位 17
3.1.3 EEGLAB 18
3.1.4 獨立成分分析 19
3.2 The Wilcoxon Signed-Rank Test 21
3.3 訊號分析方法 22
3.3.1 Welch’s Power Spectral Density (PSD) 22
3.3.2 Artifact Removal 23
3.3.3 Relative Power Spectral Density 25
3.3.4 Zero Crossing Numbers (ZCN) 26
3.3.5 Mean Correlation (MC) 27
第四章 實驗結果與討論 29
4.1 腦波訊號在PSD的分析結果 29
4.2 腦波訊號在總功率的分析結果 47
4.3 腦波訊號在ZCN上的分析結果 49
4.4 腦波訊號在MC的分析結果 54
第五章 結論與未來展望 57
參考文獻 59
附錄 62
附錄I 相關問卷 62
附錄II 成績分布 64
附錄III 每兩兩腦波頻道之MC計算結果 65
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