广州医药 ›› 2015, Vol. 46 ›› Issue (6): 20-23.DOI: 10.3969/j.issn.1000-8535.2015.06.006

• 论著 • 上一篇    下一篇

生物反馈对正常人群心脏功能影响的非线性研究

张波, 傅贤, 吴丽, 刘红英, 李又福, 张伟劲, 李现亮, 高庆春   

  1. 广州医科大学附属第二医院神经内科 (广州 510260)
  • 收稿日期:2015-07-10 发布日期:2021-11-30
  • 通讯作者: 高庆春,E-mail:qcgao@263.net
  • 基金资助:
    广东省科技计划资助项目(2012B031800435);广州市科技计划资助项目(2012Y2-00046)

A pilot study on biofeedback influencing cardiac function in normal health people by nonlinear analysis

Zhang Bo, Fu Xian, Wu Li, et al   

  1. Department of Neurology, Second Affiliated Hospital of Guangzhou Medical University, Guangzhou 510260,China
  • Received:2015-07-10 Published:2021-11-30

摘要: 目的 目前对于生物反馈发挥治疗作用的机理还未完全研究清楚,该实验借助近似熵(ApEn)这一新型的非线性研究方法,研究在生物反馈过程中心电的变化,从而希望发现生物反馈对心脏功能的潜在影响。方法 总数30人的健康正常受试者纳入研究,其中20人为生物反馈实验组,10人为正常对照组。该实验采用肌电生物反馈作为反馈方法,同时记录心电的变化。实验所得数据采用非线性动力学参数—近似熵(ApEn)进行研究。结果 实验组的平均心率在最后两个生物反馈阶段高于对照组。随着实验进展,实验组的心率标准差逐渐缩小,而心率和心电ApEn明显增高。结论 该实验发现生物反馈能够影响心电生理系统,使得心脏系统变得更加健康,展现出更强的抗应激能力,从而揭示了生物反馈潜在的治疗机理。

关键词: 生物反馈, 人体对照试验, 心电, 近似熵, 非线性研究

Abstract: Objective The mechanism about biofeedback is not complete clear. Our aim was to study changes of cardiac function (electrophysiology) during biofeedback with the help of approximate entropy (ApEn), and a potential new mechanism about neurofeedback may be detected. Methods A total of 30 healthy volunteers participated in this study which consisted of the neurofeedback group(n=20) and the control group (n=10). We applied electromyogram neurofeedback as the feedback method, and simultaneously recorded electroencephalogram(EEG) and electrocardiogram(ECG). We applied the nonlinear analysis ApEn assess obtained data. Results In the biofeedback group the average of heart rate was higher than that of control group in the last two sessions. As the biofeedback experiment sessions were progressed, the standard deviation of heart rate gradually reduced and the ApEn of ECG increased with statistic significance in the biofeedback group. Conclusion We found that biofeedback can influence cardiac electrophysiological system and make cardiac systems progress healthily and achieve greater ability of anti-stress.

Key words: Biofeedback, Case-control study, Electrocardiography, Approximate entropy, Nonlinear analysis