結合時間及頻率之穩態視覺誘發電位閃光編碼設計

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姓名

吳姍蓓(Shan-Pei Wu) 查詢紙本館藏

畢業系所

電機工程學系

論文名稱

結合時間及頻率之穩態視覺誘發電位閃光編碼設計
(A Novel Stimulation Method Combined of Time and Frequency Coded for SSVEP-Based BCI)

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摘要(中)

本篇論文以穩態視覺誘發電位(Steady-State Visual Evoked Potential, SSVEP)為基礎，提出了新的編碼設計方式。一般穩態視覺誘發電位之閃光刺激訊號是以頻率編碼為主，使用者須注視以固定頻率持續閃爍之閃光源來誘發出相對應之穩態視覺誘發電位反應；而本論文所提出之編碼方式同時結合了穩態視覺誘發電位之頻率鎖定及時間鎖定特性，其具有特殊的刺激序列結構，將使得閃光源呈現閃爍與熄滅交錯之狀態，如此即可改善一般穩態視覺誘發電位刺激方式容易造成使用者視覺疲勞與不適感之缺點。以此閃光編碼方式所誘發出之穩態視覺誘發電位能量將呈現與刺激序列週期相對應之週期性變化，因此腦電訊號只要經過適當的數位訊號處理即可計算出穩態視覺誘發電位能量變化之週期，並藉此達到辨識閃光選項之目的。最後，本論文已經藉由實驗證實此編碼方式所誘發之穩態視覺誘發電位確實具有上述特性，且可做為大腦人機介面之閃光選項使用。

摘要(英)

This study proposes a novel stimulation method for steady state visual evoked potential-based brain computer interfaces (SSVEP-based BCIs). The general SSVEP response is induced by a flicker flashing at a fixed frequency. However, visual fatigue evoked by durative stimuli will reduce the amplitude of SSVEP response and make the user uncomfortable. The new coding approach combined of the frequency-locked and time-locked features of SSVEP can eliminate these disadvantages. The flickers will flash for 1 second and turn off respectively for 0.5, 1 and 1.5 seconds by turns. The cycles of the stimulus sequences may cause the corresponding reaction, and the SSVEP energy may appear as periodic variations. This feature will be used in the classification. Finally, the experiment results demonstrate that the SSVEP induced by the proposed method do have the periodic property and can be used in the BCI system.

關鍵字(中)

★ 大腦人機介面
★ 穩態視覺誘發電位

關鍵字(英)

★ Steady-State Visual Evoked Potential (SSVEP)
★ Brain-Computer Interface (BCI)

論文目次

摘要 I
ABSTRACT II
誌謝 III
第一章緒論 1
1.1研究動機 1
1.2研究目的與方法 2
1.3論文大綱 2
第二章以穩態視覺誘發電位為基礎之大腦人機介面系統 3
2.1大腦人機介面 3
2.2視覺誘發電位 4
2.3以穩態視覺誘發電位為基礎之大腦人機介面系統 8
2.4結合時間及頻率之閃光編碼設計 10
第三章類比量測電路 15
3.1量測系統電路架構 15
3.2射頻干擾濾波器與突波抑制電路 17
3.3前級放大器 21
3.4六階帶通濾波器 25
3.5陷波濾波器 30
3.6主放大器與箝位電路 32
3.7隔離放大器 33
第四章數位訊號處理 36
4.1數位訊號處理系統架構 36
4.2數位濾波器 37
4.3移動平均及分段能量計算 38
4.4尋找區域最大點及最小點 41
4.5權重計算及處理 42
4.5.1峰值檢測 43
4.5.2振幅檢測 46
4.5.3時間差與峰值再檢測之權重計算 54
4.6選項判斷方式 57
第五章實驗結果 58
5.1實驗設計說明 58
5.2實驗波形 59
5.3實驗結果與討論 62
第六章結論與未來展望 71
參考文獻 73

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指導教授

徐國鎧(Kuo-Kai Shyu)

審核日期

2012-8-8

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