Sollers John J, Buchanan Tony W, Mowrer Samantha M, Hill Labarron K, Thayer Julian F
The Ohio State University, 1835 Neil Avenue, Columbus, OH 43210, USA.
Biomed Sci Instrum. 2007;43:158-63.
Heart rate variability (HRV) analysis involves examining the normal rhythmic fluctuations in heart rate using statistical indices (e.g. standard deviation, root mean square of the successive differences) or more complex spectral analytic techniques. Recently, Balocchi et al (2006) found that the ratio of the standard deviation of the r-r interval (SD) over the root mean squared of the successive differences (rMSSD), a simple statistical index, could be used as a surrogate for the low-to-high frequency ratio (LH/HF) typically calculated from the spectral estimates. We sought to extend this work by examining a patient population. Results indicate that the SD/rMSSD ratio is a good surrogate for the LF/HF ratio across multiple contexts in both patients and normal healthy controls.
心率变异性（HRV）分析涉及使用统计指标（如标准差、逐次差值的均方根）或更复杂的频谱分析技术来检查心率的正常节律波动。最近，巴洛基等人（2006年）发现，r-r间期标准差（SD）与逐次差值均方根（rMSSD）的比值这一简单统计指标，可作为通常从频谱估计中计算出的低频与高频比值（LH/HF）的替代指标。我们试图通过研究患者群体来扩展这项工作。结果表明，在患者和正常健康对照的多种情况下，SD/rMSSD比值都是LF/HF比值的良好替代指标。
