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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/111418

    Title: 應用希爾伯特-黃轉換分析腦波
    Other Titles: EEG signal analysis using the Hilbert-Huang Transform
    Authors: 王耀陞;Wang, Yao-Sheng
    Contributors: 淡江大學航空太空工程學系碩士班
    蕭富元;Hsiao, Fu-Yuen
    Keywords: 腦波訊號;腦波分析;希爾伯特-黃轉換;假設測試;EEG;Analysis of brain wave;Hilbert-Huang Transformation;Hypothesis test
    Date: 2016
    Issue Date: 2017-08-24 23:52:22 (UTC+8)
    Abstract: 本論文主要探討如何理解腦波資訊,尤其是對左右方向的分辨,由於腦波是非常微弱的訊號,因此機器所接收到的腦波訊號,很容易混近許多雜訊。本研究採用簡易式腦波儀,並搭配希爾伯特-黃轉換,將雜訊濾除,取出有用的腦波訊息,再透過統計的方法,試圖找出腦部在思考左右兩個方向的特徵,本研究將來可應用於利用腦波來控制無人飛行器。
    This thesis investigates the interpretation of information from brain wave, especially the way to distinguish the directions. Brain wave is so weak that many noises will be included in the received signal by an Electroencephalogram (EEG). In this research a simple EEG is used, and the Hilbert-Huang Transformation (HHT) is employed to perform empirical mode decomposition (EMD). Once the signal is decomposed, brain wave signal can be identified. Hypothesis testing in statistics is also introduced to characterize the signal. The results of this thesis is potentially applicable to the control of UAVs using EEG in the future.
    Appears in Collections:[航空太空工程學系暨研究所] 學位論文

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