高感度乾式腦波電極設計

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姓名

游騰雁(Teng-Yen Yu) 查詢紙本館藏

畢業系所

電機工程學系

論文名稱

高感度乾式腦波電極設計
(Design of High-Sensitive Dry Electrodes for Biopotential Measurements)

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至系統瀏覽論文 ( 永不開放)

摘要(中)

心電圖、腦電波、肌電波等臨床上重要的診斷儀器，通常使用濕式生理量測電極，而傳統濕式電極必須在量測部位給予導電凝膠，不僅有導電阻抗變化的問題，也會造成受試者的不適。尤其是腦電波的量測，濕式電極會將受試者的頭髮弄髒，導致量測上的不方便與不舒服。因此，本研究致力於設計一套對身體訊號有高敏感度的乾式電極，藉由設計高阻抗的前端電路來提高整體系統的量測電阻係數，利用主動屏蔽(active shield)來隔絕外在雜訊，並提供良好共模抑制比(CMRR)與阻抗匹配，以穩定生理訊號的接收。本論文所設計的乾式電極已經成功在低接觸的情況下量測出心電圖與腦電波訊號。針對乾式電極與貼片電極所接收到的訊號進行比較，兩者的方均根差值(RMSE)為0.28 mV，驗證本論文所開發的乾式電極已經可以對生理訊號進行實測，具有臨床應用的價值。

摘要(英)

Electrocardiogram (ECG), electroencephalography (EEG), electromyogram (EMG), and etc. are important diagnosis instruments in clinics. Traditional instruments usually utilize wet type electrode for measuring biomedical signals. However, the use of wet type electrodes has to smear electrolyte gel on the measurement sites. The application of electrolyte gel is neither comfortable nor convenient. Especially, in EEG measurements, the electrolyte gel will inevitably make subject’s hairs dirty. This study aims to develop a high sensitive dry electrode for the measurement of electrophysiological signals. We have designed active electrode to increase the impedance in the frontal-end circuit. By providing active shield, external noise was decreased and common mode reject (CMRR) was increased to provide better impedance matching. The proposed dry electrode has proved its feasibility in the low-contact condition. Comparing the signal quality between our dry electrode and traditional wet-type electrode, the root-mean-square error (RMSE) is 0.28 mV which demonstrates the feasibility of our dry electrode for clinical applications.

關鍵字(中)

★ 乾式電極
★ 腦電波
★ 心電圖

關鍵字(英)

★ dry electrode
★ EEG
★ ECG

論文目次

摘要 i
Abstract ii
Acknowledgment iii
目錄 iv
圖目錄 vi
表目錄 viii
第一章緒論 1
1-1 前言 1
1-2 身體訊號起源 2
1-3 研究動機與目的 3
1-4 論文章節架構 4
第二章原理介紹 5
2-1 電極文獻及介紹 5
2-1-1 濕式電極 8
2-1-2 乾式電極 9
2-2 腦電訊號 14
2-2-1 腦電波類別 14
2-2-2 量測位置與方法 16
2-3 腦波誘發電位 19
2-3-1 視覺誘發電位簡介 19
2-3-2 閃光視覺誘發電位 23
2-3-3 圖形視覺誘發電位 24
2-4 濾波器 25
2-4-1 類比濾波器 25
2-4-2 數位濾波器 27
2-4-3 Butterworth濾波器 29
2-5 腦機介面 31
第三章研究設計與方法 33
3-1 系統設計 33
3-1-1 電極設計 33
3-1-2 系統結合 35
3-2 研究方法 38
3-2-1 心電訊號測試流程 38
3-2-2 alpha波能量測試流程 39
3-2-3 視覺誘發測試流程 40
第四章實驗結果與討論 41
4-1 實驗環境與限制條件 41
4-2 實驗數據 42
4-2-1 實驗一：心電訊號測試 42
4-2-2 實驗二：alpha波能量測試 44
4-2-3 實驗三：SSVEP測試 46
4-3 對照數據 51
4-4 實驗結果討論 52
第五章結論與未來展望 55
參考文獻 57

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指導教授

李柏磊

審核日期

2018-8-10

推文