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研究生： 梁家銘
Jia-Ming Liang
論文名稱： 穩態視覺誘發電位於大腦人機介面之刺激頻率及責任週期設計
Stimulation Frequency and Duty Ratio Design in SSVEP-Based BCI System
指導教授： 徐國鎧
Kuo-kai Shyu
口試委員:
學位類別： 碩士
Master
系所名稱： 資訊電機學院 - 電機工程學系
Department of Electrical Engineering
畢業學年度： 99
語文別： 中文
論文頁數： 84
中文關鍵詞： 穩態視覺誘發電位 、大腦人機介面 、閃光頻率 、責任週期
外文關鍵詞： EEG, flicker frequency, duty ratio, phase encoding, BCI, SSVEP
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    • 本篇論文針對穩態視覺(Steady-State Visual Evoked Potentials, SSVEP)誘發電位之腦電訊號處理，設計一數位訊號處理硬體電路，實現具即時性的大腦人機介面系統(Brain Computer Interface, BCI)。可以有效改善目前相關研究必須建構於使用個人電腦搭配線上訊號處理軟體，以及資料擷取卡等的高成本實現方式。本研究以場可程式邏輯閘陣列(Field Programmable Gate Array, FPGA)為基礎來設計相關電路並實現穩態視覺誘發電位之硬體即時訊號處理，用以建立低成本與方便使用之BCI系統。另外，為了有效誘發SSVEP之腦電訊號，本篇論文設計發光二極體(Light-emitting diode, LED)閃爍燈號可依不同使用者之腦波反應特性，自我制定閃爍頻率以及燈號觸發責任週期，來有效誘發使用者的SSVEP，以增強訊號之訊雜比，而提高系統判斷率。最後經由實驗結果證明本系統能有效誘發出使用者之 SSVEP，達到即時SSVEP訊號辨識處理，並且能有高準確辨識率。

    This thesis proposes a low-cost field-programmable gate-array (FPGA) based steady state visual evoked potential (SSVEP) brain-computer interface (BCI) system. Most existing BCI systems use bulky and expensive electroencephalography (EEG) measurement equipment, personal computer, and commercial real-time signal-processing software. Therefore, the objective of this thesis is to establish a low cost FPGA-based BCI system with real-time SSVEP signal processing circuit. Moreover, the flashing duty and frequency of LED flicker are choose by an automatically searching procedure for each user in order to evoke SSVEP signal effectively and improves the information transfer rate (ITR). Finally, experimented results show that the SSVEP can be evoked effectively and high identification accuracy is obtained.

    摘要................................................I Abstract............................................II 誌謝................................................III 目錄................................................IV 圖目錄..............................................VIII 表目錄..............................................XI 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........................................3 第二章 以穩態視覺誘發電位為基礎之大腦人機介面.......4 2.1 大腦人機介面系統................................4 2.2 視覺誘發電位....................................5 2.3 SSVEP-Based BCI系統.............................7 2.4 兩頻四相位編碼技術..............................9 第三章　閃光刺激頻率及責任週期決策..................12 3.1 SSVEP能量之變化因素.............................12 3.2 閃光刺激頻率決策................................13 3.3 閃光責任週期決策................................18 3.4 使用者刺激閃光設計..............................22 第四章　量測系統電路設計............................29 4.1量測系統電路架構.................................29 4.2 訊號處理系統架構................................30 4.2.1 交流耦合網路..................................30 4.2.2 前級差動放大器................................34 4.2.3 電感電容式陷波濾波器..........................37 4.2.4 四階帶通濾波器................................40 4.2.5 陷波濾波器....................................44 4.2.6 自動倍率調整與箝位電路........................46 4.3 數位訊號處理系統之硬體實現......................50 4.3.1 數位濾波器....................................51 4.3.2 平均技術......................................52 4.3.3 相位角、振幅能量運算..........................53 4.3.4 使用者閃光決策模式、最佳化模式以及應用模式....54 4.3.5 生理回饋系統..................................57 第五章　系統硬體模擬與實驗結果......................58 5.1 系統規格與時間分析..............................58 5.2 數位硬體驗證....................................62 5.2.1 數位濾波器與平均技術之硬體驗證................63 5.2.2 系統硬體邏輯單元之消耗程度....................68 5.2.3 相位辨識......................................69 5.3 大腦人機介面系統實驗與分析......................73 5.4 實驗結果討論....................................78 第六章　結論與未來展望..............................80 參考文獻............................................81

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