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目的探讨RR间期序列平稳分量分解与高低频带划分模式对心率变异性(HRV)频域分析结果的影响。方法采集10位受试者运动前(bW)3min与运动后(pW)3min的心电与呼吸波数据。分别计算RR间期序列(RR)与RR平稳分量序列(RRd)的AR功率谱分布(PSD)。分别用传统的固定频带法、基于呼吸基频的浮动频带法、基于频带波峰位置的固定频带法进行LF与HF频带边界的划分。使用呼吸波的PSD计算呼吸基频FRF,并与HF频带波峰位置的频率值进行了比较。结果较之RR,RRd的PSD更好地反映了LF的频带波峰。HF频带波峰位置的频率值取决于呼吸频率。传统固定频带法分析结果的一致性更强;基于呼吸基频的浮动频带法、基于频带波峰位置的固定频带法的敏感性更强,能够筛选出“奇异”样本。结论 RR平稳分量序列比RR间期序列更适于计算HRV的PSD。较之传统固定频带法,基于呼吸基频或基于频带波峰位置的频带划分,能从HRV信号中较好地区别交感与迷走分支,更适于评价自主神经系统活动。
Objective To investigate the effect of RR interval sequence decomposition and high and low frequency band segmentation on heart rate variability (HRV) frequency domain analysis. Methods The ECG and respiratory wave data of 10 subjects before exercise (bW) 3min and after exercise (pW) 3min were collected. The AR power spectral distribution (PSD) of the RR interval sequence (RR) and the RR stationary sequence sequence (RRd) is calculated separately. The division of LF and HF band boundaries are respectively based on the traditional fixed band method, the floating band method based on the respiratory fundamental frequency and the fixed band method based on the peak position of the band. Respiratory wave PSD was used to calculate the respiratory fundamental frequency FRF and compared with the frequency of the HF band peak position. Results Compared with RR, RRd’s PSD better reflects the LF’s band peak. The frequency at the peak of the HF band depends on the respiratory rate. The traditional fixed-band analysis method is more consistent. The floating-band method based on the respiratory fundamental frequency is more sensitive to the fixed band method based on the peak position of the frequency band, and the “singular” sample can be screened out. Conclusions RR stationary component sequence is more suitable for calculating HRV PSD than RR interval sequence. Compared with the traditional fixed-band method, based on the respiratory fundamental frequency or frequency band based on the location of the band division, HRV signals from the better distinction between sympathetic and vagal branches, more suitable for evaluation of autonomic nervous system activity.