基于非线性动力学理论的生理信号分析  

Analysis of Physiological Signals Based on Nonlinear Methods

作　　者：邹卓颖[1] 许学添[1] 陈云洽[1] 

机构地区：[1]中山大学信息科学与技术学院

出　　处：《微计算机信息》2009年第9期163-165,共3页Control & Automation

摘　　要：非线性动力学理论是在系统动力学、确定论和随机概率论等多学科交叉基础上发展而来的新兴学科,它在生物医学工程中已经得到了广泛的应用。生理信号已经被证明是混沌信号,它具有广泛的非线性动力学特征。因此可以应用非线性动力学理论对生理信号进行分析,获得胜利信号的非线性动力学特征参数,如最大Lyapunov指数、近似熵等,将这些参数指标运用在临床应用上,以实现对疾病的早期诊断、治疗以及预后评估与检测。Nonlinear Dynamics Theory is a brand-new branch of science which combines with System Dynamics, Deterministic Theory, Random Probability Theory and so on. It has been widely used in the applications of biomedical engineering. The physiology signal has been proved to be chaos signal by academia. So the Nonlinear Dynamics Theory can be applied to extract the feature param- eters, such as largest Lyapunov Exponent and Approximate Entropy. It also plays an important role in early diagnosis, therapy and prognosis assessment of diseases.

关 键 词：生理信号 最大LYAPUNOV指数 近似熵 

分 类 号：TN911.7[电子电信—通信与信息系统] Q332[电子电信—信息与通信工程]