运用排列熵方法分析冥想训练对心率变异性的影响

背景：冥想训练有利于保持身体与心理健康，训练过程中通过自主神经调整训练心率是一个可能的因素。两者之间关系的研究有助于加深对于心血管系统调节以及健康训练的理解。 目的：从复杂性分析的角度考察冥想训练过程中心率调整的规律。 方法：心率变异信号取自PhysioNet中冥想训练心率数据库，应用排列熵方法对中国气功以及瑜伽训练前和训练中数据分别进行分析，考察两种训练对于心率复杂性的影响。 结果与结论：冥想训练中心率变异序列的排列熵值均显著小于训练前的熵值，表明中国气功以及瑜伽均有降低心率复杂性的效果。而前期研究使用排列熵对于年轻、年老、心力衰竭患者的研究表明衰老和疾病会使排列熵值增加。因此，冥想训练通过自主神经对心率的调整可能是其帮助人体保持健康的一个重要因素。

Effect of meditation training on heart rate variability based on permutation entropy

BACKGROUND:Meditation trainings are helpful for keeping physical and mental health. Regulating the heartbeat rhythm via autonomic nerve system may be the possible factor. The investigation of the relationship between training and heartbeat rhythm will deepen our understanding on the regulation rules of cardiovascular system and healthy training. OBJECTIVE:To investigate the regulation of heartbeat rhythm during meditation training from the aspect of complexity. METHODS:The heart rate variability series were obtained from meditation training database of PhysioNet. Permutation entropy was applied to analyze the data before and during Chi and yoga training. The effects of these two training methods on the complexity of heartbeat rhythm were investigated. RESULTS AND CONCLUSION:The permutation entropy of heart rate variability series during training was significantly smaller than that before meditation training; it indicated that both Chi and yoga training can reduce the complexity of heartbeat rhythm. Previous study on healthy young, healthy elderly and congestion heart failure subjects by permutation entropy showed that aging and disease could increase the value of permutation entropy. Thus, the regulation of the heartbeat rhythm via autonomic nerve system could be an important reason.