以线性参数模型和信息分解方法评价QT变异性对心率变异性的响应

doi:10.3969/j.issn.0258-8021.2018.03.007

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Abstract The balance of autonomic nerve system (ANS) plays an important role in avoiding the risk of heart-related diseases. To reveal the regulation of ANS, the response of QT variability (QTV) to heart rate variability (HRV) was analyzed by using linear parametric model in frequency domain and nonlinear information decomposition method. The Holter data were provided by THEW, database Normal was selected as normal controls (Normal, n=186) and database ESRD as typical subjects of ANS dysfunction with high risk for cardiac arrhythmias and sudden cardiac death (ESRD, n=41). 5 min RR interval (RRI) and the corresponding QT interval (QTI) at rest were extracted both in daytime and on night. The QTV fraction related to HRV (LR) in the frequency domain and the predictive information (PI) from RRI to QTI based on the information theory were calculated, combined with time-domain indexes, frequency domain indexes and symbolic dynamic analysis (SDA) of RRI, to explore the possible difference of QTV response to HRV in the two groups and its potential mechanism. There were significant diurnal differences both for LR and PI in Normal, but no significant diurnal variation of that was observed in ESRD, reflecting the loss of ANS reciprocal interaction in ESRD. When comparing the same indexes between Normal group and ESRD group in the same time period, there were no significant differences in LR values in low frequency band between two groups, while LR values in high frequency band in Normal were significant smaller than that in ESRD (Day: 18.36%±17.38% vs 39.37%±23.80%, P<0.05; Night: 28.63%±18.77% vs 42.31%±21.97%, P <0.05); PI on night was significantly higher in Normal compared with that in ESRD (0.310±0.155 vs 0.236±0.131, P <0.05), but no significant difference in PI was found between two groups in daytime. The results demonstrated that linear parametric model and nonlinear prediction based on information decomposition have different sensitivity to ANS activity; The complexity of HRV in regulating QTV in population with high risk for cardiac arrhythmias and sudden cardiac death is reduced.

Key words： QT variability(QTV) heart rate variability(HRV) linear parametric model information decomposition autonomic nervous system(ANS)

Received: 10 November 2017

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R318

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	Articles by authors
	Li Chenxi
	Pan Yue
	Wang Zhigang
	Zhang Zhengguo
	Peng Yi

Cite this article:

Li Chenxi,Pan Yue,Wang Zhigang, et al. Quantifying the Response of QT Variability to Heart Rate Variability Based on Linear Parametric Model and Information Decomposition Method[J]. Chinese Journal of Biomedical Engineering, 2018, 37(3): 305-312.

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http://cjbme.csbme.org/EN/10.3969/j.issn.0258-8021.2018.03.007 OR http://cjbme.csbme.org/EN/Y2018/V37/I3/305

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