以希爾伯特-黃變換為生醫研究適應性資料分析工具之發展---以HHT分析蛋白質動力學之單原子奈米力學及拉伸分子動力學模擬數據(總計畫及子計畫二)(I)

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題名:	以希爾伯特-黃變換為生醫研究適應性資料分析工具之發展---以HHT分析蛋白質動力學之單原子奈米力學及拉伸分子動力學模擬數據(總計畫及子計畫二)(I)
作者:	吳明佳
貢獻者:	中央大學數據分析方法研究中心
關鍵詞:	其他（醫）;希爾伯特一黃變換;生醫訊號分析;生醫影像分析;Hilbert-Huang Transform;Biomedical signal Analysis;Biomedical Image Analysis
日期:	2008-09-01
上傳時間:	2012-10-01 14:52:47 (UTC+8)
出版者:	行政院國家科學委員會
摘要:	有機體必須不斷地適應環境，因此生理過程都是非穩態、高度非線性、缺乏簡單的統馭方程而更加複雜。因此生理過程之研究非常的仰賴實驗與數據分析。新進發展的希爾伯特一黃變換(HHT)非常適於生醫過程中的非線性與非穩態數據分析。與其他所有的數據分析方式不同，HHT是一個完全適應性的方法:此方法由數據中求得基底，因此能極有效的將任何時間序列以其內秉模態展開，並突顯個別的完整物理涵義。本計畫在HHT發明人帶領之下，與哈佛醫學院生理訊號複雜性分析領導權威及美國國家衛生院世界著名肌肉蛋白結構研究專家之兩研究團隊，並與國內學者共同進行合作，我們將發展並精練HHT為生醫研究之適應性資料分析工具。本計畫全程三年，包含以下四個子計畫: (1) HHT於影像分析應用之發展(2) 以HHT分析蛋白質動力學之單原子奈米力學及拉伸分子動力學模擬數據(3) 應用HHT於探究敗血病患者發炎反應之複雜動態性調變(4)以HHT分析頸動脈超音波影像。我們的目的在於以HHT為主軸，探索其在各種生醫研究上的潛在應用。最終希望能改進並發展HHT為生醫研究與應用上的好用工具。 ; Living organisms must adapt to their environment; therefore, the biological processes are all non-stationary, highly nonlinear. Furthermore, it is also complicated by the fact that there is no simple governing equation such as the case of the Newton’s law in physical world. This makes the study of biomedical processes heavily depending on observations; consequently, data analysis is indispensable. A newly developed method, the Hilbert-Huang Transform, is ideally suited for nonlinear and non-stationary data analysis such as appeared in the biomedical processes. Different from all other data analysis existing methods, this method is totally adaptive: It derives the basis from the data and based on the data. As a result, it is highly efficient in expanding any time series in their intrinsic modes, which reveal their full physical meaning. This study is lead by the inventor of HHT, along with the other two research groups who are the leading authorities in quantifying the complexity of biological signals in Harvard Medical School and the world renowned experts in muscle protein structure in National Institutes of Health, USA. We propose to develop and refine HHT as an adaptive data analysis tool for biomedical research. This project include four component projects in a three-year term: (1) Development of HHT methodology with emphasis on image analysis (2) Application of HHT to single molecule nanomehanics and Steered Molecular Dynamics simulations of protein dynamics (3) Application of HHT in exploring the complex inflammatory response in septic patients (4) Application of HHT to carotid artery ultrasound image analysis. It is our purpose in this proposal to use HHT as the central axis and explore its potential on various biomedical applications. The end results will be to improve and develop HHT into a more user friend tool for biomedical research and applications. ; 研究期間 9708 ~ 9807
關聯:	財團法人國家實驗研究院科技政策研究與資訊中心
顯示於類別:	[數據分析方法研究中心 ] 研究計畫

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