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模拟和数字心电图记录在心率变异性评估中的应用

Analogue and digital electrocardiogram recordings in the assessment of heart rate variability.

作者信息

Simula S H, Laitinen T, Hartikainen J E

机构信息

Department of Medicine, Kuopio University Hospital, Finland.

出版信息

Clin Physiol. 1998 Mar;18(2):157-66. doi: 10.1046/j.1365-2281.1998.00089.x.

Abstract

We compared analogue and digital 24-h electrocardiogram (ECG) recordings in the assessment of heart rate variability (HRV) in 41 patients with suspected coronary artery disease. The patients underwent ambulatory ECG recordings simultaneously with analogue (A) (Marquette 8500) and digital (D) (Oxford Medilog FD-3) recorders. Digital ECG recordings were analysed with the Excel Medilog II system (DE) and analogue recordings were analysed with both Marquette (AM) and Excel Medilog II (AE) systems. SDNN, SDANN, rMSSD and pNN50 were calculated for the assessment of time domain measures of HRV, and powers of low (0.04-0.15 Hz) and high (0.15-0.40 Hz) spectral components of HRV for the assessment of frequency domain measures of HRV. Correlations between time domain measures of HRV derived from AM, AE and DE recording and analysis techniques were high (r = 0.803-0.999, P < 0.001). SDANN and pNN50 assessed with AM and DE were equal, whereas SDNN and rMSSD values differed slightly but significantly from each other (P < 0.01 for both). All time domain measures of HRV assessed with AE differed significantly from AM (P < 0.001) and from DE (P < 0.01). Correlations between frequency domain measures of HRV derived from AM, AE and DE were also high (r = 0.973-0.992, P < 0.001). Despite this, frequency domain measures of HRV assessed with AM, AE and DE differed significantly from each other (P < 0.001). In conclusion, when analysed with their own analysis systems, analogue and digital recordings provided almost identical time domain, but not frequency domain, measures of HRV. In addition, analysis of an ECG recording with an analysis system of different manufacturer should be avoided.

摘要

我们比较了模拟和数字24小时心电图(ECG)记录在评估41例疑似冠状动脉疾病患者心率变异性(HRV)中的作用。患者同时使用模拟(A)(Marquette 8500)和数字(D)(Oxford Medilog FD-3)记录仪进行动态心电图记录。数字心电图记录采用Excel Medilog II系统(DE)分析,模拟记录采用Marquette(AM)和Excel Medilog II(AE)系统分析。计算SDNN、SDANN、rMSSD和pNN50以评估HRV的时域指标,计算HRV低频(0.04 - 0.15 Hz)和高频(0.15 - 0.40 Hz)频谱成分的功率以评估HRV的频域指标。由AM、AE和DE记录及分析技术得出的HRV时域指标之间的相关性很高(r = 0.803 - 0.999,P < 0.001)。用AM和DE评估的SDANN和pNN50相等,而SDNN和rMSSD值彼此略有差异但具有显著性(两者P均< 0.01)。用AE评估的所有HRV时域指标与AM(P < 0.001)和DE(P < 0.01)均有显著差异。由AM、AE和DE得出的HRV频域指标之间的相关性也很高(r = 0.973 - 0.992,P < 0.001)。尽管如此,用AM、AE和DE评估的HRV频域指标彼此仍有显著差异(P < 0.001)。总之,当使用各自的分析系统进行分析时,模拟和数字记录提供的HRV时域指标几乎相同,但频域指标不同。此外,应避免使用不同制造商的分析系统对心电图记录进行分析。

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