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异常心电节律VT和VF信号的复杂性分析

张红煊 朱贻盛 牛金海 童善保

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异常心电节律VT和VF信号的复杂性分析

张红煊, 朱贻盛, 牛金海, 童善保

COMPLEXITY ANALYSIS OF ABNORMAL ECG RHYTHM:VENTRICULAR TACHYCARDIA AND VENTRICULAR FIBRILLATION

ZHANG HONG-XUAN, ZHU YI-SHENG, NIU JIN-HAI, TONG SHAN-BAO
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  • 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,异常心电节律VT和VF信号的定性和定量分析是客观的和准确可靠的.
    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.
    • 基金项目: 国家自然科学基金(批准号:69871019)资助的课题.
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  • 文章访问数:  8061
  • PDF下载量:  1105
  • 被引次数: 0
出版历程
  • 收稿日期:  1999-12-13
  • 修回日期:  2000-03-05
  • 刊出日期:  2000-04-05

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