Predictability analysis of the heart rate variability

被引:0
|
作者
Cai, ZJ [1 ]
Tang, LP [1 ]
Ruan, J [1 ]
Xu, SX [1 ]
Gu, FJ [1 ]
机构
[1] Fudan Univ, Nonlinear Sci Res Ctr, Shanghai 200433, Peoples R China
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中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Sixteen AMI inpatients were selected randomly. Sixteen normal subjects were selected as a control group, their age and sex matched to the AMI group. The patient's HRV were recorded 9 times after AMI in half a year. Some predictability measures based on neural network learning were used to analyze these data. It was found that for normal subjects, their HRVs were chaotic, but for AMI patients, their HRVs could be either periodic or stochastic. For all the sixteen AMI patients, some of the predictability measures kept one order lower than the one for normal subjects at least for six months after AMI, therefore it seems to be a sensitive index for measuring the damage of the heart due to the AMI attack.
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页码:1642 / 1645
页数:4
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