Recurrence quantification analysis based on surface EMG signal feature extraction and classification 基于递归量化分析的表面肌电特征提取和分类
AIM : To evaluate the feasibility of recurrence quantification analysis ( RQA ) in measuring cardiorespiratory nonlinear coupling. 目的:探讨重现量化分析(RQA)方法评测心肺系统非线性耦合中的可行性。
The method of using the time series data generated by the Lorenz equation to verify the validity and sensitivity of recurrence quantification analysis was presented, and this method was used to identify oil / water two-phase flow patterns. 采用由Lorenz方程生成的时间序列验证了递归定量分析的有效性及敏感性,并将该分析方法应用于油水两相流流型识别。
In this paper, we present a method to detect the repetitive substructures by using the modified recurrence quantification analysis and Pearson correlation analysis. 本文我们利用改进的重现图方法,结合Pearson关联的分析,来提取蛋白质结构内部的重复子结构。
This phenomenon showed that the texture on recurrence plot was sensitive to the change of oil / water two-phase flow pattern, and the recurrence quantification analysis was a valid supplementary diagnosis tool for flow pattern identification. 表明混沌递归图纹理结构特征对油水两相流流型变化敏感,混沌递归定量分析是一种流型识别的有效辅助诊断工具。