正常人短时心率变异性指标在长时序列中的分布特性及其年龄的影响

doi:10.3969/j.issn.0258-8021.2019.03.005

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Abstract The autonomic nervous system state reflected by non-invasive heart rate variability (HRV) can be affected by physiological, pathological and psychological factors. In this paper, we proposed to study the distribution of short-term HRV indices in long-term series and explore the possible changes of autonomic nervous system with age in normal people. The data were provided by the database Normal in THEW (http://www.thew-project.org). The 24-hour Holter data of normal people (n=177) were divided into 5 age groups (18≤y≤25, n=35; 25<y≤35, n=44; 35<y≤45, n=41; 45<y≤55, n=34; y>55, n=23). Linear and non-linear measures of short-term HRV indices (LF/HF and α₁) were performed along the 24 h RR interval (RRI) series using a 5 min sliding window with 2.5 min overlap. Then, mean RRI (MRRI) in each sliding window were calculated. For each Holter record, Spearman correlation coefficients (Spearman CC) between MRRI and LF/HF, as well as that between MRRI and α₁ were calculated. And the percentage of people with good correlation in each age group was counted. Then, 93 subjects (25<y≤65) were selected from 177 normal persons and divided into 4 age groups (at intervals of 10 years old) according to the standard of normal working time and sufficient data length. The mean values of sliding windows (EM_MRRI、EM_LF/HF和EM_α₁) were calculated in each 2 h period for each person. The results showed that, for Spearman CC, the proportion of people with good correlation remained high (94%～100%) in the 4 age groups with the age≤55. But the percentage of the persons with good correlation decreased sharply in the group with the age > 55 (78.26% for MRRI vs LF/HF, 65.22% for MRRI vs α₁). In the morning minimum EMRRI episodes, there were no significant differences in EM_MRRI, EM_LF/HF and EM_α₁ among the 4 groups, but there might be significant differences in other periods. With the development of wearable technology, the availability of long-term RRI series has been greatly improved. The results of this study provide a new idea for HRV analysis.

Key words： heart rate variability(HRV) autonomic nervous system(ANS) Holter aging

Received: 30 December 2018

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R318

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	Articles by authors
	Pan Yue
	Wang Zhigang
	Zhang Zhengguo
	Peng Yi

Cite this article:

Pan Yue,Wang Zhigang,Zhang Zhengguo, et al. The Distribution of Short-Term Heart Rate Variability in Long-Term Series and the Influence of Aging[J]. Chinese Journal of Biomedical Engineering, 2019, 38(3): 291-297.

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http://cjbme.csbme.org/EN/10.3969/j.issn.0258-8021.2019.03.005 OR http://cjbme.csbme.org/EN/Y2019/V38/I3/291

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