心率变异性谱成分的非线性本质  

Nonlinear nature of spectral components in heart rate variability

作　　者：李程[1] 汤大侃[2] 方勇[1] 孙锦涛[1] 丁光宏[1] Chi-Sang Poon 吴国强[1] 

机构地区：[1]复旦大学力学与工程科学系,上海200433 [2]复旦大学通信科学与工程系,上海200433 [3]Harvard- MIT Division of Health Sciences & Technology, MIT, Cambridge, MA 02139 USA

出　　处：《物理学报》2009年第2期1348-1352,共5页Acta Physica Sinica

基　　金：国家自然科学基金(批准号:30370353);上海市重点学科建设项目(批准号:B112)资助的课题~~

摘　　要：提出了分频段相位随机化替代数据方法,与噪声滴定法相结合,观察了不同频率成分对心搏混沌的影响.结果显示心率变异性高频成分相位随机化的替代数据使混沌强度显著降低,提示谱分析的频率成分中蕴含着信号的非线性特性.提出的方法能有效分析不同频率成分对非线性的贡献,该法不仅适用于心率变异性还适用于其他确定性信号的特性分析.We proposed a new hybrid method combining the band-phase-randomized surrogate data with noise titration to discern the influence of spectral components on heartbeat chaos. The results demonstrate that the chaotic strength of phase-randomized surrogate data in the high frequency band （HF） of heart rate variability （HRV） is reduced significantly, which indicates that the frequency components of spectral analysis involve intrinsic chaotic information. The hybrid method proposed in this study is effective to distinguish the different contributions of spectral components to chaotic strength of the test data. This method is applicable not only to HRV but also to other deterministic signals.

关 键 词：分频段相位随机化替代数据 混沌 滴定法 心率变异性 

分 类 号：TN911.6[电子电信—通信与信息系统]