The Distribution of Short-Term Heart Rate Variability in Long-Term Series and the Influence of Aging
Pan Yue#, Wang Zhigang, Zhang Zhengguo, Peng Yi#*
(Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing 100005,China)
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 vsα1). 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.
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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