摘要
在替代随机数据假设检验的基础上 ,提出了针对确定性混沌信号的改进非线性算法 ,并应用于心脏中的异常节律心电信号分析 .指出 :室性心动过速 (VT)和心室纤颤 (VF)是不同于随机信号的 ,是具有复杂非线性特性的混沌信号 .进而在信号定性分析的基础上 ,从非线性动力学的角度 ,提出新的复杂度和复杂率的定义和相关的检测方法 ,对VT和VF进行了定量分析 .结果表明 。
Based on surrogate data hypothesis testing, this paper presented an improved nonlinear test algorithm for deterministic chaotic signals, which is applied to the analysis of abnormal rhythm electrocardiosignals. It is pointed out that ventricular tachycardia(VT) and ventricular fibrillation(VF) are complex nonlinear chaotic signals, which was proved different from stochastic signal. On the basis of qualitative signal analysis and nonlinear dynamics, the authors forwarded a new definition of complexity rate and proposed relative detection methods for the quantitative analysis of VT and VF. The results indicated that the qualitative analysis and quantitative analysis of VT and VF can give objective and creditable results.
出处
《物理学报》
SCIE
EI
CAS
CSCD
北大核心
2000年第8期1416-1422,共7页
Acta Physica Sinica
基金
国家自然科学基金!(批准号 :69871019)资助的课题
关键词
心血管疾病
异常心电节律
VT
VF
复杂性分析
complexity dispersion, Lempel\|Ziv complexity, complexity rate, average complexity, complexity saturation
