腦電圖（EEG）呈現的節律被定義為具有相似形狀和持續時間的定期復發波形(E. Niedermeyer 2005)。藉由腦電圖可觀察腦波型態,進而了解人們之情緒,除了在醫療領域被廣為應用之外,許多教育工作者也藉由這項技術進行研究。
現今已經有多篇研究探討聆聽音樂對於學習的影響,大部分的研究較集中在藉由閱讀測驗評估學習成效。本研究利用腦波量測技術觀察學生聽完古典音樂之後,是否能夠提升觀看影片學習之專注度。本研究邀請本校資訊管理學系的學生前來實驗,受測者將會戴上NeuroSky腦波儀並以舒適的姿勢坐在椅子上接受量測,腦波儀將會擷取受測者之專注度與放鬆度並利用藍芽傳輸技術將蒐集到的數據傳輸到電腦設備,並將每秒蒐集的數據記錄下來,以便實驗者進行分析。

The rhythm presented by electroencephalography (EEG) is defined as a periodic recurrence waveform with similar shape and duration (E. Niedermeyer 2005). EEG can observe brain waves and understand people's emotions. In addition to being widely used in the medical field, many educators also use this technology to conduct research.There have been many studies on the impact of listening to music on learning.
Most of the research focuses on assessing learning outcomes through reading tests. This study uses brain wave measurement technology to observe whether students can improve the attention of watching video to learn after listening to classical music. This study invites students from the School of Information Management to come to the lab. The subjects will wear the NeuroSky electroencephalograph and sit in a chair in a comfortable position for measurement. The brainwave meter will draw the attention of the subject. Degree and relaxation and use the Bluetooth transmission technology to transfer the collected data to the computer equipment, and record the data collected every second for the experimenter to analyze.

壹、 緒論 1
一、 研究背景與動機 1
二、 研究目的 2
三、 研究流程 2
四、 研究對象與限制 4
貳、 文獻探討 5
一、 腦電圖 5
二、 腦機介面 6
三、 多媒體學習 6
四、 專注與放鬆 7
五、 音樂對腦波與學習影響之研究 8
參、 研究方法 9
一、 實驗設計 9
二、 實驗說明 9
(一) 實驗1 9
(二) 實驗2-1 10
(三) 實驗2-2 12
三、 實驗設備 14
四、 實驗音樂 16
五、 實驗影片 16
肆、 資料分析 17
一、 實驗1 17
(一) 放鬆度趨勢 17
(二) 各樂章專注度趨勢 19
二、 實驗2-1與實驗2-2 21
(一) 同一支影片(影片1)實驗比較 22
(二) 同一支影片(影片2)實驗比較 25
(三) 自然放鬆兩支影片專注度比較 27
(四) 有先聆聽音樂放鬆兩支影片專注度比較 28
(五) 同一人觀看影片期間專注度比較 30
(六) 實驗2-1與實驗2-2觀看影片專注度比較 31
伍、 結論與建議 33
參考文獻 35
附錄 研究倫理委員會審查核可證明 39

李宇晨（2016）,『利用腦波判別使用者喜好之音樂錄影帶』,國立台北科技大學資訊工程研究所碩士論文,台北。
何翊嘉（2014）,『聆聽古典音樂與工作記憶情境於大學生腦波反應之研究』,國立臺灣師範大學音樂學系碩士班音樂教育組碩士論文,台北。
林威志（2005）,『音樂刺激下腦波信號分析』,臺北醫學大學醫學資訊研究所碩士論文,台北。
施在繁、施朝正、陳金鈴、廖崇硯、林建豪 (2016),C#腦波儀程式設計實戰手冊第一版,勝宏精密科技股份有限公司,台中。
張紹勳（2004）, 『實驗法』,研究方法,滄海書局,台中。
陳建宇、黃永廣、廖允在、何秉諺（2007）,『古典與電子音樂對腦波影響之研究』,電子化優質健康照護, 頁373-386。
陳逸（2019）, 『以腦波探析教室物理環境對學習效率之影響』, 國立臺灣科技大學建築系博士論文,台北。
葉人慈（2011）,『音樂情緒及其腦電波頻譜動態之探討』,國立交通大學聲音與音樂創意科技碩士學位學程碩士論文,新竹。
溫振宇（2018）,『探討音樂及合作學習對真實情境之放鬆度、專注度與英文學習之影響』,國立中央大學資訊工程學系碩士論文,桃園。
廖允在（2007）,『腦波即時監控系統開發-音樂對腦波影響之案例研究』,國立雲林科技大學電子與資訊工程研究所碩士論文,雲林。
Anne Savan (1999),’The Effect of Background Music on Learning’, Psychology of Music, Volume: 27 issue: 2, page(s): 138-146
Biao Zhang, Jianjun Wang & Thomas Fuhlbrigge (2010),’ A Review of the Commercial Brain-Computer Interface Technology from Perspective of Industrial Robotics’, 2010 IEEE International Conference on Automation and Logistics, Hong Kong and Macau, China.
Chih-Chien Wang & Ming-Chang Hsu (2014),’ An exploratory study using inexpensive electroencephalography (EEG) to understand flow experience in computer-based instruction’, Information & Management, Volume 51, Issue 7, November 2014, Pages 912-923
Decho Surangsrirat, Apichart Intarapanich (2015),’Analysis of the meditation brainwave from consumer EEG device’, SoutheastCon 2015, Fort Lauderdale, FL, USA.
DANIEL KAHNEMAN .(1973),Attention and Effort.
E. Niedermeyer & F. H. Lopes da Silva. (2005), ‘Electroencephalography: Basic principles, clinical applications and related fields (3th ed.)’, Lippincott, Williams & Wilkins, Philadelphia.
Frances Rauscher, Gordon Shaw & Catherine Ky (1993),’ Music and spatial task performance’, Nature, 1993 Oct 14;365(6447):611.
Geeta U Navalyal & Rahul D Gavas (2014),’A dynamic attention assessment and enhancement tool using computer graphics’, Human-centric Computing and Information Sciences, Article number: 11
Hi Jee Kang, Victoria J. Williamson (2013),’ Background music can aid second language learning’, Psychology of Music, Volume: 42 issue: 5, page(s): 728-747.
Jayne M. Standley(1996),’ A Meta-Analysis on the Effects of Music as Reinforcement for Education/Therapy Objectives’, Journal of Research in Music Education, Vol. 44, No. 2 (Summer, 1996), pp. 105-133.
Kari Kallinen (2002),’Reading news from a pocket computer in a distracting environment: effects of the tempo of background music’, Computers in Human Behavior. Volume 18, Issue 5, September 2002, 537-551.
Katie Crowley, Aidan Sliney, Ian Pitt & Dave Murphy (2010),’Evaluating a Brain-Computer Interface to Categorise Human Emotional Response’,2010 10th IEEE International Conference on Advanced Learning Technologies, Sousse, Tunisia.
Lutz Jäncke, Pascale Sandmann (2010),’Music listening while you learn: No influence of background music on verbal learning’, Behavioral and Brain Functions 6, Article number: 3 (2010).
L.I.Aftanas & S.A.Golocheikine (2001),’ Human anterior and frontal midline theta and lower alpha reflect emotionally positive state and internalized attention: high-resolution EEG investigation of meditation’, Neuroscience Letters, Volume 310, Issue 1, Pages 57-60.
Narendra Jadhav, Ramchandra Manthalkar & Yashwant Joshi (2017),’ Effect of meditation on emotional response: An EEG-based study’, Biomedical Signal Processing and Control, Volume 34, Pages 101-113
Norbert Jausovec, Ksenija Jausovec, & Ivan Gerlic (2006),’The influence of Mozart’s music on brain activity in the process of learning’, Clinical Neurophysiology, Volume 117, Issue 12, 2703-2714.
Peter Tze & Ming Chou (2010),’Attention drainage effect: How background music effects concentration in Taiwanese college students’, Journal of the Scholarship of Teaching and Learning , v10 n1 p36-46.
Rafael Ramirez1, Josep Planas, Nuria Escude, Jordi Mercade, & Cristina Farriols (2018),’EEG-Based Analysis of the Emotional Effect of Music Therapy on Palliative Care Cancer Patient’, Frontiers in psychology.
Richard E.Mayer (2002),’Multimedia learning’, Psychology of Learning and Motivation. Volume 41, 2002, Pages 85-139.
Riccio A, Simione L, Schettini F, Pizzimenti A, Inghilleri M, Belardinelli MO, Mattia D, Cincotti F (2013),’Attention and P300-based BCI performance in people with amyotrophic lateral sclerosis’, Frontiers in Human Neuroscience 7
Rytis Maskeliunas1, Robertas Damasevicius, Ignas Martisius, Mindaugas Vasiljevas (2016),’ Consumer-grade EEG devices: are they usable for control tasks?’, Peer J
SUN, J. & CHEN, W. (2015),’Music therapy for coma patients: preliminary results’, European Review for Medical and Pharmacological Sciences, 19, 1209-1218.
Susan Hallam. (2015),The power of music: a research synthesis of the impact of actively making music on the intellectual, social and personal development of children and young people.
Seng Hansun (2013),’ A new approach of moving average method in time series analysis’, 2013 Conference on New Media Studies (CoNMedia)
Susan Thomas1 & Shobini L. Rao (2016),’ Effect of Gayatri Mantra Meditation on Meditation Naive Subjects:an EEG and fMRI Pilot Study’, The international journal of Indian psychology, Volume 3,Issue 2.
Teplan, M. (2002),’FUNDAMENTALS OF EEG MEASUREMENT’, MEASUREMENT SCIENCE REVIEW, Volume 2, Section 2, 2002.