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基于个人电脑的声卡与Biopac在短期心率变异性分析中用于心电图记录数字化的验证。

Validation of PC-based Sound Card with Biopac for Digitalization of ECG Recording in Short-term HRV Analysis.

作者信息

Maheshkumar K, Dilara K, Maruthy K N, Sundareswaren L

机构信息

Department of Physiology, Sri Ramachandra Medical College and Research Institute, Porur, Chennai, Tamil Nadu, India.

Department of Physiology, Narayana Medical College and Hospital, Chinthareddypalem, Nellore, Andhra Pradesh, India.

出版信息

N Am J Med Sci. 2016 Jul;8(7):307-11. doi: 10.4103/1947-2714.187150.

Abstract

BACKGROUND

Heart rate variability (HRV) analysis is a simple and noninvasive technique capable of assessing autonomic nervous system modulation on heart rate (HR) in healthy as well as disease conditions. The aim of the present study was to compare (validate) the HRV using a temporal series of electrocardiograms (ECG) obtained by simple analog amplifier with PC-based sound card (audacity) and Biopac MP36 module.

MATERIALS AND METHODS

Based on the inclusion criteria, 120 healthy participants, including 72 males and 48 females, participated in the present study. Following standard protocol, 5-min ECG was recorded after 10 min of supine rest by Portable simple analog amplifier PC-based sound card as well as by Biopac module with surface electrodes in Leads II position simultaneously. All the ECG data was visually screened and was found to be free of ectopic beats and noise. RR intervals from both ECG recordings were analyzed separately in Kubios software. Short-term HRV indexes in both time and frequency domain were used.

RESULTS

The unpaired Student's t-test and Pearson correlation coefficient test were used for the analysis using the R statistical software. No statistically significant differences were observed when comparing the values analyzed by means of the two devices for HRV. Correlation analysis revealed perfect positive correlation (r = 0.99, P < 0.001) between the values in time and frequency domain obtained by the devices.

CONCLUSION

On the basis of the results of the present study, we suggest that the calculation of HRV values in the time and frequency domains by RR series obtained from the PC-based sound card is probably as reliable as those obtained by the gold standard Biopac MP36.

摘要

背景

心率变异性(HRV)分析是一种简单且无创的技术,能够在健康及疾病状态下评估自主神经系统对心率(HR)的调节作用。本研究的目的是比较(验证)使用基于PC声卡(Audacity)的简单模拟放大器和Biopac MP36模块获取的一系列心电图(ECG)时间序列来进行HRV分析的情况。

材料与方法

根据纳入标准,120名健康参与者(包括72名男性和48名女性)参与了本研究。按照标准方案,在仰卧休息10分钟后,使用基于PC声卡的便携式简单模拟放大器以及带有表面电极置于II导联位置的Biopac模块同时记录5分钟的心电图。所有心电图数据均经过视觉筛查,发现无异位搏动和噪声。来自两种心电图记录的RR间期在Kubios软件中分别进行分析。使用了时域和频域的短期HRV指标。

结果

使用R统计软件进行分析时采用了非配对学生t检验和皮尔逊相关系数检验。在比较通过两种设备分析得到的HRV值时,未观察到统计学上的显著差异。相关性分析显示,两种设备在时域和频域获得的值之间存在完美的正相关(r = 0.99,P < 0.001)。

结论

基于本研究结果,我们认为通过基于PC声卡的RR序列计算时域和频域的HRV值可能与通过金标准Biopac MP36获得的值一样可靠。

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