项目来源
台湾省政府科研基金(GRB)
项目主持人
吴明佳
项目受资助机构
台湾大学数据分析方法研究中心
立项年度
2008
立项时间
未公开
项目编号
NSC97-2627-B008-004
研究期限
未知 / 未知
项目级别
省级
受资助金额
1481.00千元台币
学科
其他(医)
学科代码
未公开
基金类别
应用研究/学术补助
关键词
希尔伯特一黄变换 ; 生医讯号分析 ; 生医影像分析 ; Hilbert-Huang Transform ; Biomedical signal Analysis ; Biomedical Image Analysis
参与者
未公开
参与机构
未公开
项目标书摘要：有机体必须不断地适应环境，因此生理过程都是非稳态、高度非线性、缺乏简单的统驭方程而更加复杂。因此生理过程之研究非常的仰赖实验与数据分析。新进发展的希尔伯特一黄变换(HHT)非常适於生医过程中的非线性与非稳态数据分析。与其他所有的数据分析方式不同,HHT是一个完全适应性的方法：此方法由数据中求得基底，因此能极有效的将任何时间序列以其内秉模态展开，并突显个别的完整物理涵义。本计划在HHT发明人带领之下，与哈佛医学院生理讯号复杂性分析领导权威及美国国家卫生院世界着名肌肉蛋白结构研究专家之两研究团队，并与国内学者共同进行合作，我们将发展并精练HHT为生医研究之适应性资料分析工具。本计划全程三年，包含以下四个子计划:(1)HHT於影像分析应用之发展(2)以HHT分析蛋白质动力学之单原子奈米力学及拉伸分子动力学模拟数据(3)应用HHT於探究败血病患者发炎反应之复杂动态性调变(4)以HHT分析颈动脉超音波影像。我们的目的在於以HHT为主轴，探索其在各种生医研究上的潜在应用。最终希望能改进并发展HHT为生医研究与应用上的好用工具。
Application Abstract: 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.
项目受资助省
台湾省
