Costa O, Lago P, Rocha A P, Carvalho M J, Freitas A, Freitas J, Puig J, Brandão A, de Freitas F
Faculdade Medicina, Universidade do Porto, Portugal.
J Electrocardiol. 1994 Jul;27(3):251-4. doi: 10.1016/s0022-0736(94)80009-x.
Mean hourly parameters obtained from all beats (long series) were compared with those obtained from a sample of 512 beats extracted each hour (short series) in nine presumably normal subjects. For both the short and long series, the spectral components, very low frequency, (VLF), low frequency (LF), and high frequency (HF), and time-domain indices (such as the Ewing statistic [PNN50] and RR standard deviation [SD-RR]), have been estimated. The spectral components LF and HF, estimated from the short and long series, were not significantly different, whereas significant differences were found between VLF, SD--RR, and PNN50. In both the short and long series, a strong correlation was found between LF and SD-RR and between HF and PNN50. The results suggest that, over a period of 24 hours, hourly LF and HF spectral components can be obtained using a single series of 512 beats every hour, with a great advantage over the evaluation of the mean hourly parameters. This method would be particularly useful in the study of circadian heart rate spectral analysis in Holter recordings with multiple artifacts or ectopic beats, and in general, when analysis of the entire 24-hour series is not feasible.
在9名推测为正常的受试者中，将从所有心搏（长序列）获得的每小时平均参数与从每小时提取的512个心搏样本（短序列）获得的参数进行比较。对于短序列和长序列，均已估计了频谱成分，即极低频（VLF）、低频（LF）和高频（HF），以及时域指标（如尤因统计量[PNN50]和RR标准差[SD-RR]）。从短序列和长序列估计的频谱成分LF和HF没有显著差异，而VLF、SD-RR和PNN50之间存在显著差异。在短序列和长序列中，LF与SD-RR之间以及HF与PNN50之间均发现有很强的相关性。结果表明，在24小时的时间段内，每小时使用单个512个心搏序列即可获得每小时的LF和HF频谱成分，这比评估每小时平均参数具有很大优势。该方法在研究伴有多个伪迹或异位搏动的动态心电图记录中的昼夜心率频谱分析时特别有用，并且一般而言，当分析整个24小时序列不可行时也很有用。
