Department of Physiotherapy, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Department of Medicine, Kasturba Medical college, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
F1000Res. 2023 Sep 27;12:1229. doi: 10.12688/f1000research.139283.1. eCollection 2023.
Research on the compatibility of time domain indices, frequency domain measurements of heart rate variability obtained from electrocardiogram (ECG) waveforms, and pulse wave signal (pulse rate variability; PRV) features is ongoing. The promising marker of cardiac autonomic function is heart rate variability. Recent research has looked at various other physiological markers, leading to the emergence of pulse rate variability. The pulse wave signal can be studied for variations to understand better changes in arterial stiffness and compliance, which are key indicators of cardiovascular health. 35 healthy overweight people were included. The Lead II electrocardiogram (ECG) signal was transmitted through an analog-to-digital converter (PowerLab 8/35 software, AD Instruments Pty. Ltd., New South Wales, Australia). This signal was utilized to compute Heart Rate Variability (HRV) and was sampled at a rate of 1024 Hz. The same AD equipment was also used to capture a pulse signal simultaneously. The right index finger was used as the recording site for the pulse signal using photoplethysmography (PPG) technology. The participants' demographic data show that the mean age was 23.14 + 5.27 years, the mean weight was 73.68 + 7.40 kg, the mean body fat percentage was 32.23 + 5.30, and the mean visceral fat percentage was 4.60 + 2.0. The findings revealed no noticeable difference between the median values of heart rate variability (HRV) and PRV. Additionally, a strong correlation was observed between HRV and PRV. However, poor agreement was observed in the measurement of PRV and HRV. All indices of HRV showed a greater correlation with PRV. However, the level of agreement between HRV and PRV measurement was poor. Hence, HRV cannot be replaced with PRV and vice-versa.
正在对心电图（ECG）波形的时域指标、心率变异性的频域测量以及脉搏波信号（脉搏率变异性；PRV）特征的兼容性进行研究。心率变异性是心脏自主功能的有前途的标志物。最近的研究还研究了各种其他生理标志物，从而产生了脉搏率变异性。可以研究脉搏波信号的变化，以更好地了解动脉僵硬度和顺应性的变化，这是心血管健康的关键指标。 35 名健康超重者被纳入研究。通过模数转换器（PowerLab 8/35 软件，AD 仪器私人有限公司，新南威尔士州，澳大利亚）传输导联 II 心电图（ECG）信号。该信号用于计算心率变异性（HRV），并以 1024 Hz 的速率进行采样。同样的 AD 设备也用于同时捕获脉搏信号。使用光体积描记术（PPG）技术，将右食指用作脉搏信号的记录部位。 参与者的人口统计学数据显示，平均年龄为 23.14 + 5.27 岁，平均体重为 73.68 + 7.40 公斤，平均体脂百分比为 32.23 + 5.30，平均内脏脂肪百分比为 4.60 + 2.0。研究结果表明，心率变异性（HRV）和 PRV 的中位数之间没有明显差异。此外，还观察到 HRV 和 PRV 之间存在很强的相关性。然而，PRV 和 HRV 的测量值之间观察到一致性较差。 HRV 的所有指数与 PRV 的相关性更大。然而，HRV 和 PRV 测量值之间的一致性水平较差。因此，HRV 不能替代 PRV，反之亦然。
