Choi Ahyoung, Shin Hangsik
Department of Software, Gachon University, Seongnam, South Korea.
Department of Biomedical Engineering, Chonnam National University, Yeosu, South Korea.
Front Physiol. 2018 Jul 12;9:922. doi: 10.3389/fphys.2018.00922. eCollection 2018.
The purpose of this study is to quantitatively analyze the effect of an ectopic beat on heart rate variability (HRV) in the time domain, frequency domain, and in a non-linear analysis. A quantitative analysis was carried out by generating artificial ectopic beats that probabilistically contained a missed beat or a false-detected beat, and the statistical significance was evaluated though a comparison with an ectopic-free HRV by increasing the ratio of the ectopic beat in 0.1% increments from 0 to 50%. The effect of the interpolation on the ectopic HRV was also investigated by applying nearest-neighbor interpolation, linear interpolation, and cubic spline interpolation. The results confirmed a statistically significant difference ( < 0.05) even in the less-than-1% ectopic HRV in every domain. When interpolation was applied, there were differences according to the interpolation method used, but statistical significance was secured for an ectopic beat ratio from 1 to 2% to several tens of a percent. In the effect, linear interpolation, and spline interpolation were confirmed to have a higher effect on the high-frequency related HRV variables, and nearest-neighbor interpolation had a higher effect on low-frequency related variables.
本研究的目的是在时域、频域和非线性分析中定量分析异位搏动对心率变异性(HRV)的影响。通过生成可能包含漏搏或误检测搏动的人工异位搏动进行定量分析,并通过以0.1%的增量从0增加到50%的异位搏动比例与无异位HRV进行比较来评估统计学意义。还通过应用最近邻插值、线性插值和三次样条插值研究了插值对异位HRV的影响。结果证实,即使在每个域中异位HRV小于1%时,也存在统计学显著差异(<0.05)。应用插值时,根据所使用的插值方法存在差异,但对于1%至2%到几十%的异位搏动比例,统计学意义得到保证。在该效应中,证实线性插值和样条插值对高频相关的HRV变量有更高的影响,而最近邻插值对低频相关变量有更高的影响。