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Validation of PC-based sound card with Biopac for digitalization of ECG recording in short-term HRV analysis

机译:验证具有Biopac的基于PC的声卡,以在短期HRV分析中对ECG记录进行数字化

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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 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.
机译:背景:心率变异性(HRV)分析是一种简单且无创的技术,能够评估健康以及疾病条件下自主神经系统对心率(HR)的调节。本研究的目的是使用由基于PC的声卡(音频)和Biopac MP36模块的简单模拟放大器获得的心电图的时间序列(心电图)来比较(验证)HRV。材料与方法:根据纳入标准,本研究共包括120名健康参与者,包括72名男性和48名女性。遵循标准协议,通过便携式简单模拟放大器基于PC的声卡以及同时表面电极处于Leads II位置的Biopac模块,在仰卧休息10分钟后记录5分钟ECG。所有心电图数据均经过视觉筛查,发现无异位搏动和噪音。来自两个ECG记录的RR间隔在Kubios软件中分别进行了分析。使用时域和频域的短期HRV指标。结果:使用R统计软件对未配对的Student t检验和Pearson相关系数检验进行了分析。当比较两种设备对HRV的分析值时,未观察到统计学上的显着差异。相关分析显示出完美的正相关(r = 0.99,P结论):根据本研究的结果,我们建议通过基于PC的声卡的RR系列计算时域和频域中的HRV值可能与Biopac MP36黄金标准所获得的可靠性一样。

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