标题：Analysis of heart rate variability between rest and exercise states in hypoxic environment using fuzzy measure entropy
作者：Cao Z.; Liu Y.; Liu C.; Yang J.; Luo C.; Wang B.; Wang H.; Wang Y.;等
作者机构：[Cao, Z] Academician Center, Institute of Aviation Medicine, Beijing, 100142, China;[ Liu, Y] Institute of Biomedical Engineering, School of Control S 更多
通讯作者地址：[Yu, M] Academician Center, Institute of Aviation MedicineChina;
来源：Proceedings - 2016 8th International Conference on Information Technology in Medicine and Education, ITME 2016
关键词：Exercise; Fuzzy Measure Entropy; Heart Rate Variability (HRV); Hypoxic
摘要：This study aimed to employ the recently developed fuzzy measure entropy (FuzzyMEn) method to compare the difference in heart rate variability (HRV) between rest and exercise states in hypoxic environment. Four healthy male volunteers were enrolled in this study. For each subject, electrocardiography (ECG) and finger pulse were recorded in ten days to obtain the heart rate (HR) time series. For each day, the measurement lasted 150 min and was divided into six consecutive experimental sections: 3 repeat rest sections (each 30 min) and 3 repeat exercise sections (each 20 min). The repeat rest and repeat exercise sections were in turn. In each rest or exercise section, the segment of HR time series from the second 5 min episode (from the 6th min to the 10th min) was selected for the FuzzyMEn calculation. The effects of subject, day, repeat measurement and state (rest or exercise) on the FuzzyMEn were investigated. The mean FuzzyMEn differences among ten days and between rest and exercise states were also analyzed. Results showed that day and state factors have significant effects on FuzzyMEn (both P<0.01) whereas subject and measurement repeat factors have not. For both rest and exercise states, FuzzyMEn decreased gradually in the first three days and then kept a relatively stable level during last seven days. There was significant difference in FuzzyMEn between two states (rest 0.67±0.22 vs. exercise 0.23±0.11, P<0.01). © 2016 IEEE.