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作 者:赵婷婷[1] 段晓丽[1] 严碧歌[2] ZHAO Tingting;DUAN Xiaoli;YAN Bige(Department of Physics,Taiyuan Institute of Technology,Taiyuan 030008,China;School of Physics and Information Technology,Shaanxi Normal University,Xi'an 710062,China)
机构地区:[1]太原工业学院物理学系,山西太原030008 [2]陕西师范大学物理学与信息技术学院,陕西西安710062
出 处:《中国医学物理学杂志》2019年第1期88-91,共4页Chinese Journal of Medical Physics
基 金:国家自然科学基金(11647034);太原工业学院2016年大学生创新创业训练项目(20160509)
摘 要:目的:本研究采用多尺度化的基本尺度熵方法分析青年组与老年组,白天和黑夜的心率变异性信号。方法:从PhysioBank数据库中,分别提取出青年人和老年人的心率变异性信号,利用多尺度化的基本尺度熵方法对数据进行比较分析。结果:通过计算心率变异性信号的熵值,发现在白天清醒状态下的熵值比睡眠状态下的熵值高,但是昼夜间变化相似;老年组的多尺度化的基本尺度熵相对于青年组的熵值有所偏离,但大致走势一样,可见老年组的生理状态偏离了青年组的最佳生理状态。结论:通过熵值的分析,揭示出清醒状态下,心脏系统的自适应性和稳定性较睡眠状态要强;青年与老年的熵值具有昼夜节律相关性;多尺度化的基本尺度熵方法可以用于区别青年与老年,白天与黑夜的心率变异性信号。Objective To apply multiscale base-scale entropy for analyzing the heart rate variability signals in the young and the elderly,during the day and night.Methods The heart rate variability signals of the young and the elderly were extracted from PhysioBank database and then analyzed with multiscale base-scale entropy analysis method.Results The entropy of heart rate variability signal was calculated.The entropy in waking state was higher than that in sleep state,but the changes of entropy were similar in daytime and nighttime.Although the trends of entropy in the elderly and the young were almost the same,the entropy in the elderly deviated from the entropy of the young,which indicated that the physiological status of the elderly had deviated from the best physiological status of the young.Conclusion The self-adaptability and stability of the heart system in waking state are better than those in sleep state.The entropy of the young and the elderly has correlations with circadian rhythm.Multiscale base-scale entropy is proved to be feasible in identifying the heart rate variability signals from the young and the elderly,and distinguishing daytime and nighttime heartbeats.
分 类 号:R318.04[医药卫生—生物医学工程]
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