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研究生: 吳飛宏
Wu, Hui-Hon
論文名稱: 潘凱圖與多重生理參數用於情緒反應分析及靜坐練習評估
Analysis of Emotional Response and Meditation Assessment by Using Poincare Plot and Multiple Physiological Parameters
指導教授: 楊明興
Young, Ming-Shing
學位類別: 碩士
Master
系所名稱: 電機資訊學院 - 電機工程學系
Department of Electrical Engineering
論文出版年: 2010
畢業學年度: 98
語文別: 中文
論文頁數: 76
中文關鍵詞: 情緒反應心電圖肌電圖潘凱圖靜坐
外文關鍵詞: emotional response, ECG, EMG, Poincare Plot, meditation
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  • 現代人由於工作忙碌,常常累積許多壓力,進而產生負面的情緒,長時間之後往往會產生憂鬱、躁鬱、失眠等症狀。相關研究指出,靜坐練習及深呼吸在生理、心理各方面皆有顯著的放鬆效果。
    本研究整合了心電圖(ECG)與肌電圖(EMG)的量測,並將所產生的潘凱圖(Poincare Plot)分析,應用於情緒分析。潘凱圖擁有簡單運算和適合短時間資料分析的優點。藉由心電圖所產生的心率變異度分析(HRV)可用以了解自律神經活性的平衡狀態;而肌電圖可用以分析受測者臉部肌肉的變化。運用本研究所建立出的情緒反應分析系統,並利用匹斯堡睡眠品質量表(PSQI)與生活健康量表(SF-36),篩選出條件符合的健康受測者來進行實驗。藉由圖片給予受測者不同的情緒刺激,分別量測各種生理參數的變化。最後再加上靜坐練習和深呼吸兩種身心放鬆方法,來觀察其對於情緒起伏的影響。初步結果顯示,在觀看較高刺激性的圖片時,潘凱圖中的SD2、SD2/SD1明顯較高,代表交感神經活性指標升高;而當受測者接受靜坐練習及深呼吸後,SD2明顯比未經此兩種放鬆方法前高,代表副交感神經活性升高,並且情緒也較不容易因受到刺激而起伏波動。

    In the modern time, people are easy to accumulate mental stress because of their busy work. As a result, they often have negative emotions, which in turn may cause the disease depression, manic depression, insomnia and other symptoms after a long time. In the previous studies, meditation and deep breathing exercises can have a significant effect on your physical and mental relaxations .
    In this study, we have integrated electrocardiogram (ECG), electromyogram (EMG), and also use Poincare Plot to analyze the emotional responses. Poincare Plot has the advantages of having simplified calculation process and being very suitable for a short time data analysis. By using HRV based on ECG, we can understand the balance of autonomic nervous activity, and EMG can be used to measure the contraction and relaxation of participants’ specific facial muscles. By using the self-designed emotional respose analysis system and applying the Pittsburgh Sleep Quality Index (PSQI) with Life Health Questionnaire (SF-36), we can select the healthy subjects who meets the requirements of our experiments objectively. In our research, we measured the related physiological responses of the subjects by stimulating them with different pictures. We also observe the effects of meditation relaxation exercises and deep breathing on the emotional responses of the subjects.
    Finally, we found that the SD2,and SD2/SD1of Poincare Plot show higher outcome when watching more provocative picture. It indicates the increase of sympathetic activity. And after the subjects completing meditation practice or deep breathing exercises, the SD2 is significantly higher than before, and it represents that the emotional responses are not vulnerable to the interference of environmental stimulation.

    目錄 第一章 緒論 1-1研究動機與目的.............................................1 1-2文獻探討...................................................1 1-2-1情緒刺激之相關研究...................................1 1-2-2放鬆與靜坐練習之相關研究.............................3 1-2-3心電訊號量測之相關研究.. ..............................3 1-2-4肌電訊號量測之相關研究..............................4 第二章 生理訊號量測原理與分析方法 2-1 Poincare plot量測原理與分析方法............................5 2-2 心電圖(ECG)訊號分析...........................................7 2-2-1 心率變異度(HRV)分析方法...............................7 2-2-2 HRV時域分析(HRV Time domain analysis).................8 2-2-3 HRV頻域分析(HRV Frequency domain analysis)............9 2-3肌電圖(EMG)訊號分析......................................10 2-3-1 EMG時域分析(EMG Time domain analysis)...................10 2-3-2EMG頻域分析(EMG Frequency domain analysis )..........11 第三章 系統設計 3-1系統架構.................................................13 3-2硬體系統設計與測試.........................................13 3-2-1 電源電路.............................................14 3-2-2 儀表放大器 (Instrumentation Amplifier)...................14 3-2-3 Butterworth帶通濾波器 (Band-Pass Filter)..................15 3-2-4 ECG硬體電路設計與模擬..................................16 3-2-5 EMG硬體電路設計與模擬.............................17 3-2-6 資料擷取卡 PCI-6250..................................18 3-3 參數分析用軟體系統設計...................................20 3-3-1 系統取樣頻率.........................................20 3-3-2 生理訊號擷取程式...................................20 3-3-3生理訊號分析程式.....................................22 3-3-3-1心電圖參數分析程式.............................22 3-3-3-2 肌電圖參數分析程式.............................24 第四章 系統測試與實驗程序 4-1 實驗架構................................................26 4-2生理訊號量測位置.............................................26 4-3受測者.....................................................27 4-2-1匹茲堡睡眠品質量表(PSQI).............................27 4-2-2 生活健康量表(SF-36).................................28 4-2-3 靜坐練習...........................................28 4-2-4 IASP(International Affective Picture System)...............29 4-2-5 SAM量表...........................................29 4-2-6 播放軟體E-PRIME....................................29 4-3 實驗程序..................................................30 第五章 結果 5-1 IASP圖庫及SAM量表實驗結果與分析.......................32 5-2 心電圖的量測結果與分析....................................34 5-2-1 POINCARE PLOT分析 ............................34 5-2-2HRV分析..........................................37 5-3肌電圖的量測結果與分析.....................................40 5-3-1 RMS分析...........................................40 5-3-2 EA分析............................................43 5-3-3 MPF分析...........................................45 5-3-4 MF分析...........................................47 5-4靜坐練習與深呼吸實驗結果與分析...........................49 5-4-1靜坐練習分析......................................49 5-4-2深呼吸分析........................................51 5-4-3深呼吸與靜坐練習分析..............................52 第六章 討論.................................................56 第七章 結論與未來展望 7-1結論.....................................................58 7-2研究貢獻.................................................58 7-3未來展望...............................................58 參考文獻.....................................................59 附錄A 系統電路圖...................63 附錄B 匹茲堡睡眠品質量表...................67 附錄C 生活健康量表(SF-36) ...................69

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