Institute of Biomedical Engineering, National Cheng Kung University, No. 1 University Road, Tainan, Taiwan.
J Clin Neurophysiol. 2011 Apr;28(2):227-32. doi: 10.1097/WNP.0b013e31821219f5.
The authors applied independent component analysis to oscillations of heart rate and blood pressure and obtained a new index of sympathovagal balance. The performance of this index was tested in patients with carotid artery stenting and in the EuroBavar data set according to the following criteria: (1) the index should vary similarly among subjects in response to different autonomic conditions; (2) the variability in the index among subjects exposed to the same autonomic conditions should be small; and (3) the response of the index to various autonomic conditions should reflect the underlying changes in the physiological state and have a meaningful interpretation. The new index from independent component analysis better fulfilled the criteria than the commonly used sympathovagal index, the ratio of low-to-high frequency spectra power of heart rate variability, and had higher discrimination power in distinguishing the autonomic status of the patients who had undergone carotid artery stenting from that of the control subjects.
作者将独立成分分析应用于心率和血压的波动,获得了新的交感神经-副交感神经平衡指标。根据以下标准,作者对颈动脉支架置入患者和 EuroBavar 数据集进行了该指标的性能测试:(1)该指标应在不同自主状态下,在不同个体间表现出相似的变化;(2)暴露于相同自主状态下的个体间,该指标的变异性应较小;(3)该指标对各种自主状态的反应应反映生理状态的潜在变化,并具有有意义的解释。与常用的心率变异性低频与高频谱功率比的交感神经-副交感神经指数相比,新的独立成分分析指标在颈动脉支架置入患者和对照组之间的自主状态区分方面具有更高的判别能力,并且更好地满足了上述标准。